Skills required for Equity Research
It has been seven years since I left my research analyst job at CLSA India. I co-founded eduCBA to train students on Investment Banking & Equity Research. Since then, we have trained more than 10,000 students on different research topics. However, each time we see the same set of questions, one common question is, “What are the Top Equity Research skills that one should acquire to be successful in Research.”
Here are the top 5 Equity Research Skills –
- Excel Skills
- Financial Modeling
- Accounting Skills
- Writing Skills
Let us discuss each one of them in detail –
#5 – Writing Skills
Writing Skills is at number #5. The equity research report is the most important communication from a securities firm to its clients. This report has a particular purpose; i.e., it is intended to help an investor make a decision about the allocation of resources.
- First thing First – One crucial aspect is that the research report is nowhere close to novels from Dan Brown, wherein the best is saved for the last!. In a research report, the stock target and price recommendations come first.
- KISS Principle – “Keep it Simple Silly” is the golden rule. It is essential to be to the point and precise.
- Less is More – Another essential aspect to note here is that you are not required to write a full Ph.D. thesis here; a single page note or a couple of pages of reports would be great. Readers hardly have 1-2 minutes to read your full report. They may not even scan till the 2nd page.
#4 – Accounting Skills (More than Numbers!)
Number#4 is Accounting! Accounting here is not about Debits and Credits. It is much more than that.
- Be proficient in Financial Statement Analysis – The keyword here is Financial Statement Analysis. It means you are expected to be proficient in vertical analysis, horizontal analysis, ratio analysis, cash conversion cycles, ROEs, ROCEs, etc.
- Sourcing of Right Data – Another aspect where I see many challenges is sourcing the right data. For example, if you require an Annual Report of a company, would you visit the company’s website or SEC website. Besides, which other documents will you refer to draw your conclusions. Typical key sources to look for information are the Press Releases, Conference Calls, SEC Filings, etc. Financial Statement Analysis done on the wrong set of numbers will lead to results that will mislead the analysis. Hence, as an analyst, the primary challenge is to fetch the right data.
- “Identify the Shenanigans” – Our main focus in Analyst specific Accounting is to identify and predict the accounting malpractices by companies. These are normally hidden away. You can see below the confessions in Satyam Fraud Case
#3 – Valuations (Lies in the eyes of the beholder!)
Valuation Skills is at Number #3. Equity Valuation is the process of estimating the potential market value of a financial asset or liability. Valuations are required in many contexts, including investment analysis, capital budgeting, merger and acquisition transactions, financial reporting, taxable events to determine the proper tax liability, and litigation. You should be aware of the following –
- Intrinsic Valuation methods – Intrinsic Valuation Method (DCF) which means primarily determines the value by estimating the expected future earnings from owning the asset discounted to their present value
- Extrinsic Valuation Method – Relative value models determine the value based on the market prices of similar assets. It includes valuation ratios like PE Ratio, P/CF, P/BV, and many more.
- The Key is to identify the right valuation methodology – There are more than 15 valuations approaches, including DCF, Enterprise Valuation Methods, and Equity Valuation Methods. The vital thing to know is why a particular valuation Methodology is used in a specific sector. For example, Banks are valued using Price/Book Value; however, other sectors may not use Price/Book Value as a key valuation metric.
#2 – Financial Modeling (Cliffhanger!)
At number #2 is Financial Modeling. Financial modeling means forecasting the future of the company or an asset by way of an Excel Model that is easy to understand and perform scenario analysis. In the context of our discussion here, Excel-based Financial Modeling includes professionally forecasting future financial statements like Income Statements, Balance Sheets & Cash Flows. Unfortunately, in graduation and post-graduation, every other subject is taught except Financial Modeling and Excel.
- Financial Modeling follows Modular Approach – The primary approach taken is Modular one. The modular approach essentially means that we build core statements like Income Statement, Balance Sheet, and Cash Flows using different modules/schedules.
- Provide Additional Schedules for clarity – The additional schedules are the depreciation schedule, working capital schedule, intangibles schedule, shareholder’s equity schedule, other long term items schedule, debt schedule, etc. The additional schedules are linked to the core statements upon their completion.
- Free Financial Modeling Training – If you want to learn Financial Modeling from grounds-up, you can refer to the Free Financial Modeling Course. Please note that Financial Modeling skills may not be very easy to acquire. It requires time and patience to master this skill set.
#1 – Excel Skills (Most Obvious is Most Dangerous!)
At number #1 is the Microsoft Excel Skills! Neither I am joking, nor am I drunk. Equity Research Analyst spend around 10-12-14-16 hours each day working on excel doing financial modeling, valuations, and financial statement analysis. Important points to note in Excel are
- Formatting is most important– An analyst needs to produce an output that is error-free and neat. There is a lot of money riding on the research reports published by the analyst,s and the last thing one needs is to lose a client due to loosely formatted tables and excel models.
- Speed & Accuracy – Timely delivery of reports, models are required in Equity Research Industry. MS Excel is the only place I can say where there are “Shortcuts to Success”! I have hardly seen research using a mouse, and the majority of them are masters in Excel.
- Analysis – One should be able to use Excel tools like Pivot, Filter, Sort, VLOOKUP in Excel, HLOOKUP Function, etc. to analyze complex data and client requests.
- Scenario Building – It is important to create different scenarios for Modeling like Optimistic, Pessimistic, and Most expected. Also, your client may want to change a few assumptions to see how they affect the target price, find terminal value, capm beta, etc. Hence, you need to be well aware of Data Tables, Goal Seek in Excel, etc. to provide these features to your clients.
- Graphs & Charts – A picture speaks more than a thousand words! You will find the majority of the research reports contain neat and informative investment banking graphs and charts and less of written material. You should try and master this data representation technique.
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This article has been a guide to Equity Research Skills. If you learned something new or enjoyed the post, please leave a comment below. Let me know what you think. Many thanks, and take care. Happy Learning!