My secret to financial modelling like a pro with resources

My secret to financial modelling like a pro with resources

Financial modelling is a key skill in the banking and financial sector. Financial services have become an essential and popular part of the industry. Without finance, no sector would function, making financial services all the more important. Every other industry is interlinked to the financial industry, making it one of the most important sectors. The financial sector has several roles to fulfil. It is the primary domain that looks after the funding of every industry. The roles that the finance sector serves include:

  • Cash inflow management
  • Fund analysis
  • Expense management
  • Cash outflow management 
  • Employee funds tracking 
  • Taxation tracking
  • Profit measurement

Every company needs financial management; hence, it is one of the most sought-after skills. A financial modelling certificate is highly valued in the industry. A financial modelling certification course is hence a must-have skill to possess. The industry lacks enough workforce in the financial management sector. Skilled financial experts are in high demand in the market. If you aspire to be a skilled finance management professional, then now is the right time to take a financial analyst certification course. Wish to find out more? Go through the article and learn how you can become a pro at financial modelling.

What is financial modelling, and how is it important to the market?

Financial modelling is a key aspect of every company. Without financial planning and modelling, a company would face hefty losses. As companies have been expanding, they’ve realised the importance of financial modelling and planning. 

  • Financial modelling plays a key role in estimating the risks and uncertainties involved in making key decisions in the company.
  • Through financial modelling, a company’s assets can be managed and analysed. 
  • Financial modelling helps define a specific plan for a particular year. It helps a company fix its business-oriented goals.
  • Financial modelling helps analyse and measure the success of a company. We can find out the company’s profitability and growth.
  • It helps a company pay taxes on time. Taxation is a key area of concern, especially for multinational companies. Since every country’s taxation policy is different, a company must ensure that it pays the right amount of tax before the due date. Without financial modelling, any company would have legal trouble due to taxation.

As we see, financial modelling is important to every company since every company requires fund management and financial planning. 

What a financial modelling expert does?

Through our financial analyst certification course, you’d learn several key skills. These skills would help you accomplish several tasks in financial modelling. These include

  • Collecting and analysing the track record of a company’s financial data.
  • Documenting the observation obtained by monitoring different parameters.
  • Assessing risks behind a decision and predicting the probable result of it. 
  • Analysing and creating financial statements.
  • Looking out for potential financial risks to the company.
  • Budgeting the company’s finances and expenses.
  • Provide an authentic, well-researched valuation for the company.

Why is it the right time to start a career in financial modelling?

With increasing companies, the need for financial modelling experts is increasing more than ever. Skilled financial modelling experts are being sought after. Moreover, they’re given good pay as well. Financial modelling is one of the most rewarding jobs, and the demand for financial experts only seems to rise. Now is the perfect time to learn and hone your financial modelling skills. The market is set to become more competitive, and as a skilled financial modelling expert, you would stand out in a crowd.

How can you take your first step toward becoming a skilled financial modelling expert? 

Finance is not everyone’s cup of tea and needs extraordinary teaching. Taking certified courses would be an ideal step toward sharpening your financial management skills. It is important to have a finance-related background to seek jobs in the finance sector. To pursue a career in financial analysis, an undergraduate or postgraduate degree in finance-related fields is a prerequisite. Additionally, it is always important to update your knowledge constantly. Innovations are coming up by the day, and to keep yourself updated with these innovations, you must take up a financial analyst certification course.

A good financial analyst certification course would be your first step towards advancing further in your journey to become a skilled financial expert. Through a financial analysis certification course, you would learn key subjects such as corporate finance, risk analysis and management, cost of capital, budgeting, etc. These will help you in your career in financial analysis. 

Conclusion

Financial modelling is all about the correct information in the proper format at the right time. At its core, financial modelling is simply connecting all the dots to make more informed business decisions in marketing, sales, operations, or finance.

CTA: Looking for learning solutions? Imarticus Learning has everything you need! Imarticus Learning offers an immersive, interactive course on Financial Analysis. Imarticus aims to prepare learners for careers in tomorrow’s tech-driven society by providing them with advanced learning opportunities across all levels of education.

Can an Artificial Intelligence and Machine Learning Certification Push Your Career Forward?

Can an Artificial Intelligence and Machine Learning Certification Push Your Career Forward?

Introduction

Countless professionals, office workers, job seekers, and aspirants are aware of the employment opportunities in artificial intelligence and machine learning and are prepared to provide their services to employers. AI and ML are considered valuable for entrepreneurs planning to increase their business and differentiate the services they provide.

The number of professionals with AI and ML certifications is growing in response to the increasing demand for these technologies in businesses and organizations. If you want to keep yourself updated and are interested in working in Artificial Intelligence and Machine Learning, you should consider a certification course in artificial intelligence and machine learning. 

Alternatively, if you have a Bachelor’s or Master’s in Computer Science, Engineering, Maths, Statistics, or Science with a minimum of 50% marks and do not know what to do next, you should consider this certification. An artificial intelligence and machine learning certification can give you the edge to get the promotion or job you’ve been coveting.

What is the value of an AI and MI certification?

Artificial Intelligence and Machine Learning are great career options–many industries have now consented to using AI and ML. These technologies have applications in several sectors–IT, aerospace, healthcare, robotics, banking, and finance. The Economic Times has predicted that there will be about 3 million jobs in this sector. 

If a person is skilled and equipped with an in-depth knowledge of AI and Ml, they will find it easy to grab a good job with a handsome salary in a multinational firm or any industry mentioned above. Job seekers can also find jobs on platforms such as NAUKRI.COM, which have approximately 15000 jobs for people interested in the field.

In India, the average wage of a professional Artificial Intelligence worker is about Rs. 15,70,800. Apart from the base salary, skilled individuals can use AI and ML certification to enhance their package and position in a company. 

Features of Artificial Intelligence and Machine Learning courses

  1. The courses will teach you extensively about AI and ML technologies and their application. We’ll cover topics like Deep Learning, Computer Vision, Natural Language Processing, Reinforcement Learning, Neural Networks, and TensorFlow.
  2. The course provides learners with practical, hands-on learning in AI and ML labs and 12+ projects.
  3. Students get to work alongside world-renowned companies such as Uber, Netflix, Google, and Amazon.

Benefits of Artificial Intelligence and Machine Learning certification

  • Growth in demand

The demand for AI and related technologies will exponentially increase in the next few years. Businesses will switch to AI to generate better solutions and implement customized internal solutions. 

  • Almost every sector uses AI

If you master AI, you will have many career opportunities available in multiple industries. Many people want to be good at specific branches of AI, such as Deep Learning and Natural Language Processing. Being adept at these offers a chance at a great career.

  • High salary 

The median salary for an AI engineer in the USA is USD 130,000. As the sector keeps growing, domestic industries too will start moving towards fairer pay scales.

  • Better chances of getting a job interview 

Obtaining an AI certification can ensure that you get an interview callback. The AI certification will stand apart on your resume and help you get noticed in the pool of applicants.

Problems you can face while getting an AI and ML certification

Mastering AI and ML technologies can be difficult. Collecting data is a big problem faced by students in their careers. For problem-solving and analytics, one will have to request data from clients. The quality of the data obtained will determine how accurate the output will be. 

A career in AI and ML

To pursue a career in AI and ML, one should be mindful of the following facts:

  • You must understand different technologies in Artificial Intelligence and Machine Learning.
  • Focus on the basics of AI and ML.
  • Knowing about the methods that organisations use on their platforms can be an added advantage for job seekers.

Conclusion

A certification course in Artificial Intelligence and Machine Learning from Imarticus Learning Private limited will help you achieve your learning objectives. You can contact Imarticus Learning Pvt. Ltd through chat support, or drive to our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, or Ahmedabad.

Companies that hire employees with AI-certified skills will be setting themselves up for success as those skill sets continue to grow in demand. Certification isn’t just an opportunity; it’s an investment in your future and a safeguard against economic uncertainty.

How Learning Data Science from an IIT is Different

How Learning Data Science from an IIT is Different

An IIT is a premier institute of technology in India that offers a world-class education in engineering and other technical disciplines. IITs are known for their rigorous academic programs, which prepare students for successful careers in industry and academia.

Harvard Business Review ranked the data scientist position as the sexiest job of the 21st century. With companies like Amazon, Google, Facebook, and Uber investing heavily in data science (and their employees), it is currently in very high demand.

What are the exclusive features of learning from an IIT?

The statement is quite justifiable if we look at the points below.

SPECIALLY DESIGNED FOR PROFESSIONALS

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The course has been curated by IIT faculty and Data Science and Machine Learning Professionals. It will help students build a solid data science foundation and master machine learning with Python for data-driven decision-making.

Through this course, we strive to generate experts who can furnish meaningful insights from data and help companies make the correct decisions for development.

LIVE TRAINING

The course will be offered live via online sessions with the best faculty in India. The trainers belong to IIT Roorkee, IIT Ropar, IIT Guwahati, and other supreme academies. The industry experts have ample knowledge of data science and machine learning projects.

CAMPUS IMMERSION

You can visit the campus of iHUB DivyaSampark @IIT Roorkee for two days and get a chance to unite with the IIT faculty and your coursemates. You can also visit the iHUB DivyaSampark startup incubation center and pitch your startup idea in Industry 4.0, Web3.0, Healthcare, and Sustainable Development.

STARTUP FUNDING SUPPORT

Through the Digital India scheme, iHUB DivyaSampark@ IIT Roorkee will deliver a forum for energetic startup-minded students to pitch their startup idea and get allowance support. It is an exciting opportunity for enthusiastic students who want to construct something they are proud of.

PROGRAM DELIVERED BY DR BALASUBRAMANIAN

This course will be handled by Dr. Balasubramanian Raman, designated as the chief data science and ML faculty.

CERTIFICATION BY IIT ROORKEE AND IMARTICUS

The course certificate will be allocated jointly by iHUB DivyaSampark @ IIT Roorkee, DST, and Imarticus Learning. This certificate shall be nationally-recognized, enhancing the students’ resumes and helping them stand out.

What does a perfect curriculum look like while studying at an IIT?

The curriculum of an IIT is highly advanced and updated according to market standards. What shall you learn? Let us see.

Learn Python: Data Science by Example

One of the best paths to learning data science is by example, precisely what you’ll find in this course. The certificate program in Data Science and Machine Learning from IIT is designed to give you a strong foundation in the basics of Python programming. It will teach you:

how to read data sets

how to organize your code with functions and loops

how to visualize your findings with plots and graphs

how to extract critical insights using advanced statistical techniques such as linear regression

how machine learning algorithms work on raw data sets and more.

Understand Basic Statistics for Science

The program is crafted to give you a strong foundation in statistics helping you understand and apply machine learning algorithms. You will learn to handle big data sets and visualize them effectively.

Predict values employing linear regression

Work with mean, frequency distribution, conditional probability, serial correlation, covariance, multicollinearity, etc

Analyze data utilizing Sampling Distribution, F-distribution, T-distribution, Chi-Square distribution, etc.

Machine Learning with Python

Through this program, you’ll gain the necessary skills and knowledge you need to succeed in this exciting field.

Introduction to Machine Learning

Linear Regression

Optimization

Logistic Regression

Decision Trees

Random Forest

PCA

K-Means Clustering

Time Series

Text Analytics

Neural Networks

Conclusion

The Indian Institutes of Technology (IITs) are world-renowned for their rigorous academic programs, unlike what students would find at a traditional college or university. And data science is no exception. Learning from an IIT is a great way to get started if you want to become a data scientist. We have already mentioned what you can expect from our data science program. So let’s not hurry to set your career on fire to be one of the best Data Science and Machine Learning Professionals.

We recommend you check out our Certificate Program in Data Science and Machine Learning if you want to learn data science. The program is designed to teach students the fundamentals and various aspects of data science and machine learning while equipping them with the proper knowledge to implement and apply these concepts to real-world problems.

Contact us through chat support, or drive to our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, or Ahmedabad.

CFO training in 2022: A comprehensive guide to leadership

The global economic conditions are now changing, and the new leadership is calling for a significant shift in the priorities of global finance leaders. CFOs have an essential role in responding to these changes and taking charge of the business.

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We have developed a comprehensive guide on CFO training in 2022. This guide contains everything you need to know and understand to become a great CFO.

Learn to identify new opportunities

The first step to identifying new opportunities is to assess your current situation. What are the areas of your business that need improvement? How can you improve on these areas for better financial reporting and strategy?

Once you know what needs improvement, it’s time to start looking at ways in which you can achieve this goal. You want to be clear about what will make a difference for your company, so look at all aspects before making any decisions—financial health, customer satisfaction (or lack thereof), sales figures, and growth potentials, amongst others.

Develop a growth mindset

The second most important skill for a CFO to master is their growth mindset. A growth mindset is an idea you can develop and improve, even if it takes time and effort. The more you practice being able to see your strengths, the easier it will be for others as well.

A growth mindset is also helpful in building trust with others because they know they can count on someone who has learned from mistakes made along the way—and who won’t try something just because they want something now rather than waiting until later down the road when there’s less pressure.

Become a flexible leader

Adaptability is an essential skill you can develop as a CFO. The ability to change course when necessary and then quickly adapt is crucial for any leader.

Companies successfully apply this concept by allowing their leaders to move roles within the organization. In other words, you can be flexible without changing your job title!

Another way CEOs can grow professionally while still keeping up with their responsibilities as executive officers (EO) is by learning new skills outside of work that enhance both personal growth and professional development. 

Integrate technology into your financial strategy

Technology is an integral part of your financial strategy and reporting. As you know, technology can get used to streamline processes, improve efficiency, and increase productivity. 

The CFO training program should include at least one session on integrating technology into your financial plan or strategy—and it should focus on using data analysis in decision-making processes rather than pushing more traditional manual methods. Businesses can ensure that their CFOs get prepared for the future by providing them with the best resources possible.

Become a Chief Financial Officer with Imarticus Learning

This 12-month curriculum, intended for individuals with more than five years of experience, provides a thorough grasp of financial services and management. Once students have completed the CFO leadership training program, they’ll receive a Postgraduate Certificate Programme for Emerging CFOs from IIM Indore

Course Benefits For Learners:

  • Gaining practical knowledge of the financial world and guiding organizational transformation may be accomplished by learning from and interacting with top CFOs.
  • Along with more modern topics like changing CFO roles, Fintech, and tech-driven financial services, students will master the fundamentals of capital structure, treasury, and risk management.
  • Specifically designed for finance professionals, the Postgraduate Certificate Programme for Emerging CFOs created in partnership with IIM Indore.

Contact us through the chat support system, or visit one of our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, or Ahmedabad.

5 Tell-Tale Signs You Need To Get A PG In Finance

5 Tell-Tale Signs You Need To Get A PG In Finance

Choosing your PG-level subject can be tricky and also a little bit risky.

With finance, you can’t go wrong. It is a promising field that ensures good career prospects and interests those well-versed with the basics of the subject.

Here are five tell-tale signs you need to get banking and finance online training.

Immense Career Growth in Finance

Almost every organisation has a finance department. Consequently, there are several employment options in the finance sector.

Moreover, you can begin from scratch and have all the possibilities to reach the top of your career in finance.

Lastly, it is among the most significant global industries. As a result, once you work in this field, your career will advance quickly, and you will get to explore the different work areas in finance.

Booming Industry of Finance

The finance industry is booming and breaking records every single day. It is expanding globally, more so in promising economies like India. It indicates that this favorable progress will last the longest.

There will be ups and downs, but the market rebounds swiftly. The finance sector is safe since it is well-regulated. It proves your job will be safe and booming even during a recession.

High Pay Cheques in Finance 

We are all aware that finance is among the highest-paying fields. You may be sure you will get a big salary and great perks. Naturally, how much money you make will rely on the firm you work for and your negotiation abilities. Still, you are already in a very strong position with a postgraduate degree in finance.

Multiple Career Options

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There are many different careers you may pursue in finance. After learning about it during the program, you can opt to pursue a profession in the subject that most interests you.

For example, you can go for your business ventures, work for a firm, or a government institution, among several other options.

In short, you have many career options in your hand after passing out with a postgraduate degree in finance. You can Always Aim for Bigger Goals.

Corporate life is all about preparing yourself for better and heftier goals. Switching from a job is not very easy in other fields, but you can quickly get great pay hikes in finance according to your experience and skills.

So, you can always aim for better job opportunities.

In addition, there is a high level of competition, and significant firms in the finance sector benefit. As a result, you will receive several job offers and offers to move to jobs with higher incomes.

Top 3 Career Paths Available to You After a PG in Finance

Below are the top 3 career paths you can embark on after completing a postgraduate course in the field.

Corporate Finance

An advanced-level finance course equips you with both financial modeling and valuation techniques.

It prepares you for job roles available in the corporate finance vertical. This career path requires analysis of financial statements and designing and selecting correct valuation models.

Investment Banking

A primary task of investment banking professionals is to guide corporates in their financial decisions. It involves them enabling corporates to source required funding and advising them when to acquire or merge with another company.

Investment bankers also guide corporates on the right time to initiate a public offering in the capital markets.

Financial Research and Consulting

It is an ideal career path for those finance professionals who enjoy doing research and offering advisory services basis their findings.

They discharge some of the most fundamental services for a company. Hence, there is a demand for financial researchers and consultants in almost all industries.

Takeaway

Now that you have made up your mind, these tell-tale signs will help you strengthen your decision regarding pursuing a postgraduate degree in finance.

A finance degree always pays back in multiple folds. You will earn much more than you invest in pursuing this degree.

This ever-growing industry has a high growth rate. So, you will land into great companies as the world’s biggest recruiters are constantly searching for fresh finance talents.

Are you still unsure?

Opt for career counseling to better understand the programme and set clear expectations.

We at Imarticus Learning provide one such platform where besides necessary education, we assist in solving all your queries regarding fintech. We start with the basics of a degree in finance to jobs and more ahead.

We even have a 24*7 chat support system and training centers in various metropolitan cities, including Mumbai, Pune, Thane, Bangalore, Chennai, Gurgaon, and Delhi. Visit us at our centers for further help.

Deep Learning AI For Decision Making In 2022

Deep Learning AI For Decision Making In 2022

Artificial Intelligence or AI has always been the future for humankind. John McCarthy coined the term AI in 1956 with the emergence of computer-based intelligence. In AI development, a series of advancements have been made to keep the simulation efficient and ongoing. But first, let’s brush up on Artificial Intelligence.

What is Artificial Intelligence? The simulation of intelligence surpasses human traits but is processed by a machine instead. These machines we are talking about are nothing but gears we use daily. Artificial intelligence utilizes computer systems in making a simulation laden with intelligence models.

AI focuses on speech recognition, language processing, decision-making, and problem-solving, among other features. Apart from being a multi-purpose data-driven model, it also implements other tasks such as planning, management, and learning.

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There are multiple types of AI: Artificial Narrow Intelligence, Reactive Machine AI, Limited Memory AI, Artificial General Intelligence, Artificial Super Intelligence, Self-Aware AI, and Theory Of Mind AI.

Deep learning comes under machine learning, which AIs use to imitate human behavior and gain general insight into humans. If you want to opt for a deep learning course or an artificial intelligence course to benefit your career or implement your knowledge, keep reading this article.

Applications of AI in Terms of Decision Making

Here is a list of all the tasks you can expect from an Artificial intelligence course in decision making.

  • Business operations: AI ensures efficiency in administrative tasks and takes the upper hand when interacting with figured data, thereby making faster and more accurate decisions.
  • Complex problem-solving: A step-by-step process can assist AI in figuring out complex data and multilayer problems. You can also utilize AI tools for predicting and optimizing pricing. 
  • Customer-related management: AI is valuable in the following arrangements –personalized customer interaction, customer behavior evaluation, prediction of consumer trends, and handling customer service.
  • Performance assessment: AI minimizes the number of human errors indefinitely and also helps in providing a transparent cover to employee data.
  • Strategic management: One thing that sits well with AI is the strategic management of changes. It can plan, manage, reduce shortcomings, and deliver a highly manufactured model in production.

Deep Learning Techniques

To create powerful deep learning models, you can choose a deep learning course that teaches these methods. An artificial intelligence and machine learning course teaches the following techniques. 

  • Transfer learning: You can use the transfer learning technique to train a model that has been previously perfected. This method takes less data than its competitors, reducing workload and computation time.
  • Training from scratch: Usually, for newer networks, this training involves collecting an extensive data set for configuring a network architecture. You can use this method for output categories. 
  •  Learning rate decay: The rate at which data becomes unstable has been studied back and forth. The learning rate decay method defines the process of the learning rate for increased performance and reduced training period.
  • Dropout: This technique solves problems like overfitting networks by dropping units and their connections with neural networks. The dropout technique has been increasingly helpful in document classification, speech recognition, and computational biology tasks.

Limitations And Challenges

Deep learning and decision-making go hand-in-hand, but simultaneously, they can hold several limitations that may limit their power. With an advanced simulated environment comes equally baffling challenges. These pointers discuss the constraints faced by AI in terms of deep learning.

  • Massive Pile-up of Data: Deep learning in itself requires the storage of large amounts of data. In addition, more accurate models require better parameters which can pose a storage issue.
  • Inflexibility: One downside of deep learning models is that they face hurdles in terms of multitasking. Machine learning only helps AIs deliver accurate solutions to one problem at a time.
  • Reasoning issues: Reasoning tasks such as programming, implementing data manipulation and long-term planning are beyond the current reach of AIs.

Conclusion

Artificial Intelligence is a rapidly increasing system that enables human behavior and accurately represents human complexity. While there are many scopes in terms of artificial intelligence, an Artificial Intelligence and Machine Learning course can help you pave the way for market trends in 2022. 

Think NLP is difficult? Here’s a step-by-step guide to mastering it

Think NLP is difficult? Here’s a step-by-step guide to mastering it

If you want to learn NLP, you’re probably wondering why it’s so tricky. The reason is that most people don’t understand the basics of this field or have the patience to learn them correctly. This guide will explain NLP and how to use it to get more out of your data analysis process.

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Natural Language Processing (NLP) is the study of language. It is a branch of AI (artificial intelligence) that studies how computers interact with human language, specifically how to design computers to process and evaluate huge volumes of natural language data.

What are the applications of NLP?

It is a powerful tool that you can use in many different applications. Here are just some of the ways you might use NLP:

  • Customer service: When talking with customers, it’s essential to know how they feel about your product or service. By using NLP techniques like positive language and mirroring, you can find out what their needs are so that you can help them more effectively. 
  • Marketing: Using emotional appeals in marketing campaigns will increase sales and retention rates by 79%. In addition, dynamic targeting has increased response rates by 60%. That means if you want people who like cats or dogs (or both!), knowing where those people live helps ensure they see ads for pet products when they search online!

Thinking that NLP is too difficult for you to learn, think again. It is a tool that can help you get started with your transformation process by understanding how your brain works and what influences the way you think and behave. It isn’t a magic wand or replacement for human interaction; it’s just another way of looking at things to understand ourselves and others around us better!

NLP is a powerful tool that you can use to transform your life. It’s also one of the fastest-growing subfields in AI, so you need to know how it works before jumping into the deep end. 

Discover a career in data analytics with Imarticus Learning

 This data science career will teach students data science in a practical setting. Students will create complex models that will generate critical business forecasts and insights. 

We at Imarticus believe that learning is an ongoing process. Our mission is to prepare our global learning community for a futuristic, tech-driven world by structuring information with modern technology and making learning accessible.

Course Benefits for Students:

  • Students will be familiar with data analytics, machine learning basics, and the most extensively used data science tools and methodologies. 
  • To get a data analyst certification course, students must complete 25 real-world projects and case studies led by business partners. 
  • The ability to display data using a data analytics tool is one of the most sought-after skills in the industry today. As a result, new graduates and those just beginning their jobs may want to consider enrolling.

Contact us through chat support, or drive to one of our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, or Ahmedabad.

Common Terms In The Derivatives Market You Need To Be Aware Of

Common Terms In The Derivatives Market You Need To Be Aware Of

The derivatives market can seem impenetrable to new traders. There are so many contracts and additional terms and conditions that it can be hard to know where to start. However, if you’re interested in trading derivatives, you must understand the basic concepts before going further. 

Here are some common terms in the derivative market you need to be aware of:

Call option

It gives the holder of the contract the right, but not the obligation, to purchase shares at a specific price on or before their expiration date. If you buy a call option, you are speculating that an underlying stock will rise in price before its expiration date.

Time Decay

Time decay is a function of theta, the Greek letter theta (θ). Theta is the amount of time value an option loses per day. 

Market lot

A market lot is a specific quantity of a commodity or index that you can trade on the open market. It differs from standard lots in that it’s 20% larger than what would be considered an equal quantity for everyday trading purposes.

Option writing

You can sell options at any time and at any price. The premium you earn from selling an option depends on how close it is to expiration, but the more expensive your choice is to purchase, the higher its strike price will be.

The money option

An option is said to be out of the money when its strike price (the price you can purchase or sell) is below the current asset price and above the market value of your underlying asset.

In the money put options

In the money, put options have a strike price lower than the current stock price. 

In contrast to out-of-the-money puts, which can lose all value if they expire worthless while still being far away from their maximum value (they are essentially naked calls), in-the-money puts will only lose a small percentage of their value if they expire worthlessly – usually 2% or less per year depending on how risky this type of position get considered by investors who purchase them! 

You need to understand the essential terms of derivatives and how they work before you start trading.

Learn investment banking courses with Imarticus Learning

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With the Certified Investment Banking Operations Professional curriculum, students may jumpstart their careers in banking. This certification in investment banking will give students the skills necessary to succeed in banking operations, treasury, and clearing services at all production levels.  

The investment banking courses with placement cover Strategic planning and financial management, financing, and valuation of investment opportunities. 

Course Benefits for Learners:

Contact us through chat support, or drive to one of our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, or Ahmedabad.

7 things a financial analyst must know

7 things a financial analyst must know

A financial analyst is a person who analyses investment performance and assesses the financial statements of different verticals to make business decisions. An analyst is solely responsible for monitoring macroeconomic trends in different sectors and industries; the role of an analyst, therefore, demands strong mathematical, analytical, and data interpretation skills.

Analysts can use data, research, and expert opinions to determine whether projects will work or not. Each type of analyst has different focus areas and levels of responsibility. They evaluate potential financial risks, manage cash flow and balance sheets, prepare annual reports and provide guidance to management on investment strategies.

Essential Skill-Sets of a Financial Analyst 

 

  • Decision-Making

 

Decision-making is about choosing the correct option out of many and deciding which one is best for the situation. It’s about weighing the pros and cons of each option to see if it will work for you as an analyst. It’s also about being able to justify the decision by ensuring it makes sense within the company’s goals, mission, or vision.

As a financial analyst, this sort of thinking is essential because your task involves decisions like how much money to invest in different projects or products. One needs to be able to look at all the possible factors involved in making those decisions—like how profitable they will be and how much money they’ll bring in—and make an informed decision that balances risk with reward while staying within budget guidelines.

 

  • Corporate Finance

 

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Corporate finance is the study of how corporations manage their finances. It involves deciding the sources of funds, investments, and capital structure. A classic example is a decision taken by a company involving a combination of debt and equity to fund its needs. 

Financial analysts must come equipped with such knowledge in order to help companies manage their finances and make investment decisions. In order to develop the required expertise, students can opt for financial analyst courses

 

  • Technical Analysis

 

A financial analyst must be able to determine market sentiments based on price trends and detect patterns and indications.  

Financial analysts need to understand the technical analysis based on statistical trends to build a perspective toward stocks, bonds, commodities, or any other financial module. This task involves using charts and graphs when analysing data about stocks and other investments.

 

  • Mergers and Acquisitions Analysis

 

Mergers and acquisitions have an impact of epic proportions on the financial health of an organisation. Mergers and acquisitions analysis involves determining or predicting the results of such business acquisitions and the effect they will have on the financial well-being of the company.

Based on this information, the company can improve its revenue and market share, reduce costs and gain top talent; a chartered financial analyst course is a great way to acquire such a technical skill-set. 

 

  • Corporate Valuation

 

Corporate valuation is the process of determining the market value of an organisation or business entity. Valuation is crucial when it comes to acquisitions and mergers. As a financial analyst, one should be proficient in different financial tools to look at the market cap, capital expenditures, and taxation to determine the economic value of the entire business unit.

 

  • Financial Modelling

 

As a financial analyst, one is expected to calculate how much money the company has made in the past, what it will make this year, and what the future looks like for the business. Modeling covers the analysis of estimating how much money the company is spending each month on essentials, salaries, and benefits for employees. 

Modeling enables analysts to understand how the clients’ businesses work, and how the products they sell fit into those businesses. By doing so, analysts gain a better understanding of not just the client’s business, but also help them make better decisions about what products to offer and how to allocate resources.

Having knowledge of financial modeling helps financial analysts estimate the profits, balance sheets, and cash flow statements. Financial modeling courses will help analysts learn the advanced metrics to handle modeling techniques.

 

  • Software Skills

 

As an analyst, having a working knowledge of financial software like Tally, Excel, and SAP can help you get an edge over others and save time. Knowing how to use finance functions, lookup functions, data validation tools, what-if analysis, and pivot tables are some critical skills that an analyst must possess. 

Get Started

The demand for financial analysts will always thrive on driving businesses to the upside. Imarticus Learning understands the skills that industries require and has curated a course covering all important aspects to get you groomed and industry-ready. The Chartered Financial Analyst course by Imarticus Learning is a collaboration with KPMG in India that provides you with real-world training, through a detailed course structure and guidance in every module. Contact us through chat support, or visit our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, or Ahmedabad.

Kickstart your journey as a financial analyst today!

Cloud finance trends that changed the ways of the world

Cloud finance trends that changed the ways of the world

Finance services have become a major industry in recent times. With the rise of industrialization and capitalization, cloud technology has become key determinants in the finance sector. 2020 is the cloud era as claimed by fintech professionals. Almost all organizations in every sector are migrating their databases to cloud technology. According to statistics, almost 55 per cent of companies use cloud-based accounts. In 2020, it was found that a good chunk of a company’s budget(approximately 32 per cent on average) is allocated to cloud technology. Businesses are increasingly preferring cloud technology over other forms of data storage. The fintech industry, in particular, is being transformed by cloud technology trends of better accessibility and security of data, etc.

What is cloud technology and how is it associated with fintech?

Cloud computing is a major sub-domain of computer science that has been in great demand lately. Cloud computing involves the use of clouds, which are abstract objects located on remote servers and store data. This data can only be accessed by a specific set of systems. Huge databases are not stored in local storage but on remote servers called clouds. This is one of the most trending technologies in the industry. The fintech industry is driven by cloud computing. Almost all fintech companies have migrated their databases to the cloud. Storing data in the cloud has numerous advantages for the company. Hence, the fintech industry greatly relies on cloud computing services.

Why is the demand for cloud computing rising in the fintech industry?

Almost all companies have migrated their databases to cloud technology. There are several reasons for companies choosing cloud technology over local storage methods. 

  • Enhanced data security

Fintech industry data is highly confidential. Fintech companies handle a vast range of clients, some of whom are celebrities and prominent businessmen. Compromising on the security of confidential Intel could be disastrous. When cloud technology was being developed, there were severe security concerns. However, through the implementation of multiple encryption techniques, data security has increased greatly. When the infrastructure is used by well-trained employees who are well aware of access control, cloud architecture can do wonders. To ensure that the confidential data of clients do not fall into the wrong hands, fintech companies prefer migrating to cloud storage.

  • Smoother data management

Data management is a key aspect for fintech companies since data is equivalent to gold for them. They run on data, and without its efficient management, they cannot function smoothly. Fintech companies analyze several stats like remaining balance, spending patterns, and money management. Without sufficient structured data, it is impossible to analyze and report. Hence, fintech companies must be exceptional at data maintenance and management. Maintenance of large databases on local storage could be inefficient. Transferring the database would be impossible and since it is stored on a single device, it could be lost. 

  • Data accessibility

Data accessibility is a crucial feature when it comes to a collaborative culture. Multiple systems may need access to the data, and having the data on all the systems is not feasible. It would be a waste of effort, space, and time and also unaffordable. Cloud computing enhances data accessibility greatly. Since the data is stored in an abstract cloud, it can be accessed by any system with the access key. This way, all the systems can collaboratively work on the database. 

What are the benefits of becoming a cloud computing architect?

Cloud computing is determining financial service trends and is thus in great demand. Almost every fintech company is migrating to cloud architecture. This creates a growing need for cloud computing experts in the industry.

A career in cloud technology has several benefits.

  • Job security: since the demand for cloud architects is high, it is a highly stable field 
  • High packages: cloud computing fetches you a handsome salary
  • Scope: ample opportunities are available as it is a fast-growing field. 

How does an updated cloud computing course look?

In your updated fintech online training, several core cloud computing topics are covered. A few of the core modules of the cloud computing course are an introduction to BFSI and fintech, digital transformation and RPA, cloud computing and economy API. The core modules contain the basics of the fintech industry and how cloud computing plays a major role in it. After the core module, the cloud computing course also has a pro module. Here, you’d take a deeper dive into modern banking and cloud computing solutions. The fintech online training drives you through all the important topics of the domain and gives you practical knowledge about them. 

Who can enrol? 

Cloud computing in the fintech industry requires you to have at least a basic understanding of finance and accounting. Anyone with a bachelor’s degree in finance subjects can register for the course.

Wish to know more about our fintech online training and cloud computing course? Well, we’re available 24×7! Reach out to us whenever you need guidance. We’re at your service through chat and have exclusive centres in Mumbai, Thane, Pune, Chennai, Gurgaon, Bengaluru, Delhi and Ahmedabad!