Essay: FORECASTING OF SECURITY PRICES USING RELATIVE STRENGTH INDEX

“FORECASTING OF SECURITY PRICES USING RELATIVE STRENGTH INDEX (RSI)”

AT

SHRIRAM INSIGHT SHARE BROKER LTD

ABSTRACT

The relative strength index (RSI) is a technical indicator used in the analysis of financial markets. It is intended to chart the current and historical strength or weakness of a stock or market based on the closing prices of a recent trading period.

The indicator should not be confused with relative strength. The RSI is classified as a momentum oscillator, measuring the velocity and magnitude of directional price movements. Momentum is the rate of the rise or fall in price.

The RSI computes momentum as the ratio of higher closes to lower closes: stocks which have had more or stronger positive changes have a higher RSI than stocks which have had more or stronger negative changes.

The RSI is most typically used on a 14 day timeframe, measured on a scale from 0 to 100, with high and low levels marked at 70 and 30, respectively. Shorter or longer timeframes are used for alternately shorter or longer outlooks. More extreme high and low levels—80 and 20, or 90 and 10—occur less frequently but indicate stronger momentum.

If the RSI is 70 or greater, then the instrument is assumed to be overbought (a situation in which prices have risen more than market expectations). An RSI of 30 or less is taken as a signal that the instrument may be oversold (a situation in which prices have fallen more than the market expectations)

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CHAPTER-1

INTRODUCTION

FORECASTING OF SECURITY PRICES USING RELATIVE STRENGTH INDEX METHOD

1.1 INTRODUCTION:

Security analysis is the analysis of tradable financial instruments called securities. These can be classified into debt securities, equities, or some hybrid of the two. More broadly, futures contracts and tradable credit derivatives are sometimes included. Security analysis is typically divided into fundamental analysis, which relies upon the examination of fundamental business factors such as financial statements, and technical analysis, which focuses upon price trends and momentum. Quantitative analysis may use indicators from both areas.

Technical analysis

Technical analysis is a method of predicting price movements and future market trends by studying charts of past market action. Technical analysis is concerned with what has actually happened in the market, rather than what should happen and takes into account the price of instruments and the volume of trading, and creates charts from that data to use as the primary tool. One major advantage of technical analysis is that experienced analysts can follow many markets and market instruments simultaneously.

Security charts are based on market action involving price. There are five categories in Security technical analysis theory:

• Indicators (oscillators, e.g.: Relative Strength Index (RSI)

• Number theory (Fibonacci numbers, Gann numbers)

• Waves (Elliott wave theory)

• Gaps (high-low, open-closing)

• Trends (following moving average).

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Fundamental analysis:

Fundamental analysis is a method of forecasting the future price movements of a financial instrument based on economic, political, environmental and other relevant factors and statistics that will affect the basic supply and demand of whatever underlies the financial instrument.

The fundamentalist studies the cause of market movement, while the technician studies the effect. Fundamental analysis is a macro or strategic assessment of where a currency should be trading based on any criteria but the movement of the currencies price itself. These criteria often include the economic condition of the country that the currency represents, monetary policy, and other “fundamental” elements.

Fundamental analysis focuses on what ought to happen in a market. Factors involved in price analysis: Supply and demand, seasonal cycles, weather and government policy.

Similarities between Technical and Fundamental Analysis:

Technical analysis and fundamental analysis both aim to help determine a buy-in price and sell price for a stock. By doing so, both analysis helps to reduce the probability of losing and increase the probability of winning.

Gambling dens earn by the concept of probability. So does technical and fundamental analysts. Technical analysts go for low risk high probability setups. Fundamental analysts reduce risks or increase probability of success by determining an intrinsic value for the company and enter with a margin of safety.

In practice, many market players use technical analysis in conjunction with fundamental analysis to determine their trading strategy. One major advantage of technical analysis is that experienced analysts can follow many markets and market instruments, whereas the fundamental analyst needs to know a particular market intimately.

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1.2 SCOPE OF THE STUDY:

Globalization of the financial market has led to a manifold increase in investment. New markets have been opened; new instruments have been developed; and new services have been launched. Besides, a number of opportunities and challenges have also been thrown open.

The role of research is to provide information to the market. A lack of information creates inefficiencies that result in stocks being misrepresented (over- or under-valued). Analysts use their expertise and spend time in analyzing a stock, its industry and its peer group to provide earnings and valuation estimates. Equity analysis is valuable because it fills information gaps so that each individual investor does not need to analyze every stock.

1.3 NEED FOR THE STUDY:

• Create awareness among investors about the Equity analysis .

• Understand the price behaviour of the selected companies traded in BSE/NSE

• Give knowledge to investors regarding RSI Tool.

• Also understand the Equity price behaviour using RSI Tool.

1.4 OBJECTIVES OF THE STUDY:

The basic idea behind undertaking security forecast project is to gain knowledge about security forecasting

• To study the basic concept of security forecasting.

• To understand the practical considerations and ways of considering equity price.

• To analyze security price behaviour of the selected industries.

• To study the current trend and trend of selected industry.

• To manage the security forecasting prices.

• To make suggestion based on Technical analysis tool RSI.

• To predict the day to day fluctuations in the stock market using Technical analysis.

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1.5 RESEARCH METHODOLOGY:

Type of the study:

The research has been based on secondary data analysis. The study has been exploratory as it aims at examining the secondary data for analyzing the previous researches that have been done in the area of technical and fundamental analysis of stocks. The knowledge thus gained from this preliminary study forms the basis for the further detailed Descriptive research. In

the exploratory study, the various technical indicators that are important for analyzing stock were actually identified and important ones short listed.

Problem Statement:

RSI (technical analysis) is the study of price movement and trend in markets in order to forecast future security prices, therefore investment timing plays a crucial role for trading in stock market. As the investors face difficulty while identifying the opportunities, so this analysis is directed towards the use RSI, which is one of the tool of technical analysis, which help the investor to analyse the prices and decide when to buy and sell.

Research Design:

The research design used in the study is analytical research. In analytical research the researcher has to use the facts or information available and analyse to make a critical evaluation of the material. As the research include analysis of the prices of shares, which is historical data and derive conclusions from it.

Sources of Data:

The data collection is done through the secondary data. The major source of the data is collected from websites of NSE and BSE. While the other data used in the study is collected from text books, business journals and periodicals, newspapers related to the stock market and from few websites which deal with the stock market.

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Sample size: –

3(Wipro, HCL and TCS) Companies are taken Security products selected for NSE/BSE. (IT is Most liquidity Industry in stock market)

1.6 Tools and Techniques:-

This Technical analysis is helpful to general investor in many ways. It provides

important & vital information regarding the current price position of the company.

Technical analysis involves the use of various methods for charting, calculating &

interpreting graph & chart to assess the performances & status of the price. It is the tool

of financial analysis, which not only studies but also reflecting the numerical & graphical

relationship between the important financial factors.

Usually the following tools & techniques are used to do the technical analysis:

Price Styles:

Price in a chart can be displayed in three styles: Bar, Line, and Candlestick.

Bar:

It gives the detailed information about every aspect.

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Line:

A line chart simply connects the closing prices from one period to the next. This type of chart is ideal for securities with no high or low price data i.e., mutual funds or that is even with the equity in case of base price.

Japanese Candlestick:

A candlestick is black if the closing price is lower than the opening price. A candlestick is white if the closing price is higher than the opening price.

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Japanese Candlestick:

2 Key Tools of Technical analysis : Charts, Indicators

Price charts:

A price chart is a sequence of prices plotted over a specific time frame. In statistical terms, charts are referred to as time series plots. Any security with price data over a period of time can be used to form a chart for analysis.

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The price chart of IBM is been taken as an example for better understanding, as technical analysts use charts to analyze a wide array of securities and forecast future price movements

Figure-1 (IBM)

On the chart, the y-axis (vertical axis) represents the price scale and the x-axis (horizontal axis) represents the time scale. Prices are plotted from left to right across the x-axis with the most recent plot being the furthest right. The price plot for IBM extends from January 1,2014 to March 13, 2015.

Indicators:

Technical Indicators are the other key tool in technical analysis. Technical indicators are graphical representations of various mathematical formulas based on the stock price and transaction volume. There are literally thousands of technical indicators out there and more are being developed daily as new finance theories are translated into mathematical formulas every day. Technical indicators’ main function is to tell when a stock is considered oversold or overbought and when a stock is considered weak or strong relative to its past action.

Statistical Tools: – 14 days Avg. Gain and Avg. Loss RSI.

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LIMITATIONS OF THE STUDY:

• The analysis was purely based on the secondary data. So, any error in the secondary data might also affect the study undertaken.

• This study has been conducted purely to understand Equity analysis for investors.

• The study is restricted to three companies based on technical analysis.

• The study is limited to the companies having equities.

• There was a constraint with regard to time allocation for the research study i.e. for a period of 45 days.

• I have taken only few companies for data analysis.

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CHAPTER-2

REVIEW OF LITERATURE

The Geography of Equity Analysis by CHRISTOPHER J. MALLOY*

Article first published online: 2 MAR 2005

I provide evidence that geographically proximate analysts are more accurate than other analysts. Stock returns immediately surrounding forecast revisions suggest that local analysts impact prices more than other analysts. These effects are strongest for firms located in small cities and remote areas. Collectively these results suggest that geographically proximate analysts possess an information advantage over other analysts, and that this advantage translates into better performance. The well-documented underwriter affiliation bias in stock recommendations is concentrated among distant affiliated analysts; recommendations by local affiliated analysts are unbiased. This finding reveals a geographic component to the agency problems in the industry.

Lo, Mamaysky, and Wang (2000) proposed a new approach to evaluate the efficiency of technical analysis. The authors applied the goodness of fit and kalmogorov – smirnov tests to the daily returns of individual NYSE/AMEX and NASDAQ stocks from 1962 to 1996 using data from the center for research in securities prices (CRSP). The authors found that certain technical patterns, when applied to many stocks over many time periods, do provide incremental information, especially from NASDAQ stocks. Authors‟ model suggested that technical analysis can be improved by using automated algorithms such as authors and traditional patterns such as head- end – shoulders and rectangles, although sometime effective, need not be optimal. By comparing the unconditional empirical distribution of daily stock returns to the conditional distribution conditioned on specific technical indicators such as head- end – shoulder or double- bottoms- authors found that over the 31 year sample period, several technical indicators do provide incremental information and may have some practical value.

Fernado, Christan, and Simon (2000) tested the profitability of simple technical trading rule based on Artificial Neural Network (ANN) model. They made a small study on „The Profitability of Technical Trading Rules based on Artificial Neural Network: Evidence from the Madrid Stock Market‟. Their results were based on applying this investment strategy to the General Index of the Madrid stock market, and suggested that, in absence of trading costs, the technical trading rule was always superior to buy-and-hold strategy for both the “bear” market and “bull” market and “stable” market. On the other hand, they found that the buy-and-hold strategy generated higher return than the trading rule based on ANN for a subperiod presenting upward trend (bull market).

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Author: James English

Published: 2001 It is already being called model of the future for the exchange of information between different countries. The chamber of representatives of the Belarusian Parliament on June 6 ratified the agreement on ensuring equal rights of citizens of Belarus and Russia to freedom of movement, choice of place of stay and residence on the territories of the States – parti. In particular, under the control of the state Corporation moved Svyaz – Bank and Globex. Interior 2009, en el sector. Dinge ber mich, meine. Forty kilometres about 25 miles from Bolgatanga, along the Burkina Faso border, is Paga, home to the Sacred Crocodile Ponds.

The author presents the theory of portfolio choice from a new perspective, recommending decision rules that have advantages over those currently used in theory and practice. Gives a comprehensive overview of creating 3d animations for the web. Some of you reading this book might find that you have all the qualifications needed, besides applied while others may become easily discouraged. Clare is married with three small children, she bakes her own bread and buys her clothes from the charity shop. Org en Arranmore Island; apart from wall images ArranmoreIsland and street.

In July, when the stakes were also left without changes, the Bank President Jean – Claude Trichet Jean – Claude Trichet reiterated that, because of professionals with time, the probability of increase of the rate will grow. His release will take place in the end of 2010, but the exact date of the beginning of sales of the game has yet to be announced. Karpin appreciated the opponents of Spartacus in the Champions League. Where can I get money changed.

Lai, Balachandher, and Nor (2001) examined the predictability of technical trading rules on the daily returns of the Kuala Lumber Stock exchange composite index for the full sample period from January 1977 to December 1999, which includes both bull abs bear periods. The random walk model was tested by applying the variance ratio and the multiple variance ratio tests on the market returns. After testing for random walk in Malaysian stock market, the predictability of two technical trading rules of the variables, length moving average (FMA) rule was examined. The results indicated non- random loss of successive prices changes. The findings indicate no random walk in the KLSE and 51 imply a potential for technical trading rules to generate above average returns. This was verified by the predictability of FMA and VMA rules examined in this study and the significantly positive returns generated by these rules even in the presence of trading cost.

Sehgal and Garhyan (2002) evaluated whether share recommendation based on technical analysis provide abnormal returns in the Indian capital market. Several returns measures have been employed including those adjusted for market trend, risk and transaction costs. The study involved 21645 recommendations for 21 companies using 13 technical indicators.

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The mean return was found statistically significant for the total period. But the gains disappear in the case of market adjusted measures. The returns were found significant for the risk- adjusted measures and also after the adjustment for transaction costs.

Moube and Jannach (2003) tried to find out which of the concepts of fundamental analysis were the most important factors and indicators for the asset managers basically for everyone questioned the first factor of look at the financial state of the company, which was usually determined by such ratios as return easy returns, sales development, future earnings, stability of balance sheets dept easily, equity ratio). Besides, majority of respondents mentioned such key valuation concepts as price to earning and price to book value.

Avadhut_Nigudkar article on “equity research career article was published in 2005

Majority of you may not know the reason. I have an answer for you. The Equity Research Career needs a structured planning. You should not have a short-term vision for this as you cannot afford to have a short-term vision for long-term benefits. Plan your career in such a way that you do not need to find a job. What is the difference between “Job Hunting” and “Career Planning”? I will tell you the difference. Career is a long-term strategy whereas getting a job is a short-term need. Only passionate and skilled people make a mark in equity research area. You need to invest your time and energy to acquire the right skills.

What are the skills required to be successful in equity research area?

Here is the list of skills:

1. Knowledge of Income statement, Balance Sheet and Ratio Analysis

2. Fundamental Analysis

3. Financial Forecasting and Modeling

4. Corporate Valuation methods like Discounted Cash Flow and Peer Comparison.

5. Analytical and logical skills

6. Right Attitude. This is the most important skill you need

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7. Excel proficiency

8. Report Writing

9. Effective Communication

10. Confidence

These skills are not in any particular order, but they all are required to perform better in equity research. So, acquire these skills and walk the structured career path of Equity Research.

Priya Agarwal (2007)

Everything about equity becomes plenty clear if the word risk is understood, dealt with and analyzed. Sounds complicated? Well, if you want to build your wealth by investing in the equity market, then a little bit of complication has to be tolerated. You will come to find that it is definitely worth it in the end.

Irrespective of whether you invest in government bonds or multinational corporations, there is always going to be an element of risk involved. It is only a matter of the degree of risk. Although this is inevitable, the more you understand risk, the better you will be at dealing with it.

i. Choose the right company to invest in. It doesn’t necessarily have to mean investing in blue-chip companies, get the advice of a good broker to help you analyze where and when to invest.

ii. It is better and safer to invest in a long term investment rather than a short-term.

iii. Go ahead and diversify your investments

iv. Read up on the quarterly and annual reports as well as news articles of the companies you have invested in. Be aware of its performance on a regular basis.

v. Never ever give in to the temptation to buy more. You will end making more mistakes than returns.

vi. Periodically monitor and review your risk capacity and risk profile.

vii. Learn from your mistakes, don’t get excited or discouraged by market fluctuations. Be patient, and you will be rewarded duly.

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‘Fundamental analysis importance in equity analysis’ byMichelli gelie published in 2009

Investors using fundamental analysis will evaluate the price of an investment to determine its actual value compared to its equity market value. If the equity market value is misplaced, it means a potential profit for the investor. Investors using technical analysis will use charting software to find patterns in stocks based upon previous activity. On the other hand, fundamental analysis looks into the future to try to determine a company’s true value.

Here are some key terms that you will need to understand in order to do some basic fundamental analysis in your stock market trends analysis. Combine these with some charts and you may find some outstanding opportunities that may not have been present in just the chart alone.

Debt to Equity Ratio

A company’s debt to equity ratio indicates its financial leverage in the company. The debt to equity ratio is calculated by taking the company’s liabilities and dividing them by stockholders’ equity. A company with a high debt to equity ratio may indicate that the company has been accruing debt to finance its growth. This could mean that the company has more opportunity for a higher earning potential. Alternatively, this could indicate that the earnings may be volatile and a potential for bankruptcy looms. The shareholders would benefit if the shareholders portion of the earnings would increase. To add even more variables in, the debt to equity ratio may also depend upon the industry in discussion.

An example of debt to equity ratio may be in relationship to mortgages or Purchase Capital. For instance, a mortgage of $750,000 may have an equity value of $250,000. The debt to equity ratio is 3:1. This is also equivalent to 75%.

Price/Earnings Ratio

The price to earnings ratio helps investors determine the potential value of a company’s stock. The price to earnings ratio is calculated by dividing the price per share by the annual earnings per share (EPS). A low price to earnings ratio means that the stock is undervalued on the market. The ratio may vary depending on the time period.

For example, a stock may trade at $30 per share. Experts may predict that the stock may earn $6 per share. The P/E ratio will be calculated by dividing the stock price by the prediction. This results in a P/E ratio of 5. Investors pay $5 for every one dollar earned. The smaller the number becomes, the more profitable the company.

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PEG Ratio

The price to earning to growth ratio is slightly different from the P/E ratio. This represents the company’s expected growth. The number is calculated by taking the P/E ratio and dividing that number by the annual EPS growth.

The PEG ratio is more of an approximation. A company that is valued fairly high has a PEG ratio equivalent to one, according to Peter Lynch, an investment expert. The P/E ratio alone may make a high growth company appear overvalued instead of showing its true relative value. While the value typically falls between zero and one, the value may also be negative. For example, Company X is said to have a P/E ratio of 30 and an annual growth of 30% per year. This would result in a PEG of one.

Cash Flows

There are two types of cash flows available: Non-operating cash flows and cash flows. Cash flows indicate a stream of revenue or expenses that flows through an account in a given period. The influx of cash usually occurs from financing, operations or investing. The outflow of cash is usually a result of expenses or investments. Businesses usually keep track of this via an accounting statement. This number may be calculated by adding non-cash charges to a net income after taxes. This number is an indicator of the strength of the company.

Non-operating cash flows typically include asset sale, dividend payments, stock purchases, loans and other investments. Both investment cash flows and financing cash flows are non-operating cash flows. Investors will review these statements when researching the viability of a prospective company. This is also helpful in determining how much capital a company needs to raise.

For instance, if a company earns $100,000 in one year and experiences an A/R increase of $25,000. Then, the cash flows from operating activities would equal to $75,000. This number is valid if all other assets and liabilities remain the same over the year.

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Michael Saul

Stock analysis published in 2011

Stock analysis is a key element in order to purposefully come up with stock market predictions. When it comes to personal finance and the accretion of financial wealth, many people look to the stock market. The reason is simple: Participating in the stock market is stimulating. But as with any other type of investment, there are always risks and challenges entailed. In order to play it safely, you have to arm yourself with relevant information and formulate strategies that work and keep you comparatively safe. This is particularly important because there is no foolproof approach in terms of stock picking. The best way for you to survive this roller coaster of an endeavor is to keep yourself informed and to stay true to established strategies for staying afloat.

Stock analysis has two types: fundamental and technical. These two are exceptionally significant factors in determining the direction of the stock market. Practically all stock market trading systems depend on one or both forms. Fundamental analysis is all about a company’s fiscal status, its earnings, and financial assets, along with its debt. The goal is to find the intrinsic value, or the real worth, of a stock. Technical analysis focuses on the history of stock share prices and volumes, previous market activity, and the path that the stock market is taking. The objective is to use the data to make conjectures about the potential movement of the price of a stock.

Having confidence stemming from the rooted know how on these two methods is an excellent quality in an investor. Many individuals often look at technical analysis as the more significant of the two. But some professionals point out that analyzing the fundamentals of a particular stock can put you considerable steps ahead of your trading peers. Meanwhile, technical analysis, as some experts indicate, employs completely different theories and uses a totally distinct set of criteria as compared with fundamental analysis. The bottom line, though, is that there is no single approach to pick stocks.

The point is that all these stocks looked good to many of the analysts who studied the fundamentals of these businesses. There were, after all, some honest analysts who joined the dishonest ones in repeatedly recommending their purchase and who gave glowing reports about their prospects.

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These stocks were touted as great investments at prices that later proved to be much too high (they did not seem particularly high at the time because they had been much higher before that). Nevertheless, some of the analysts who studied these companies really believed that they were very good picks.

They kept recommending these stocks even though they kept falling. Why? They did so because they concluded that these stocks ought to go higher. Technicians who study price, volume, and various other stock behavior patterns, on the other hand, sold when their stop-losses were triggered or when technical sell signals were registered. They did not argue with themselves that these stocks ought to go higher. They acted on what was, not on what ought to be. They were the smart ones.

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CHAPTER-3

COMPANY PROFILE

Shriram Insight Share Broker Ltd.

3.1 INTRODUCTION

Shriram Insight Share Brokers Ltd is part of Shriram Group, a name to reckon with in the financial services sector for the past 3 decades.The Group has diverse business presence spread across truck finance, consumer finance, life insurance, general insurance, financial distribution and wealth advisory services. The operating entities of the group has an overall customer base in excess of 10.2 million, 42,000 employees, net profit of Rs. 22 billion with assets under management in excess of Rs.76,000 Crores. Shriram Insight was incorporated in 1995 and is a member of BSE and NSE for both equities and derivatives. They currently serve more than 190,000 clients through our network of 460 branches + spread across the country.

Stock Broking business of the group was started in 1995, promoted by professional entrepreneurs and incubated by the Shriram Group through its entity, Shriram Insight Share Broker Ltd.

Stock Broking business commenced operations with a corporate membership in NSE in the cash segment in 1996. Membership in the derivatives segment in the NSE was acquired in 2003.

The Business has expanded into the commodities market with a trading-cum-clearing membership in the Multi Commodity Exchange (MCX) and the National Commodities and Derivatives Exchange (NCDEX) through a 100% subsidiary. Stock Broking business is firmly focused in the rapidly growing High Net worth Individual (HNI) and Retail space.

Member: National Stock NSE SEBI Reg. No. : NSE-CM [INB 230947033] | BSE-CM [INB 010947035] || NSE-F&O [INF 230947033] ,DP [IN-DP-CDSL-293-2005] ,MCX [Membership No: 10115] |The business has an active client base of over 1,50,000.The business operates through 1000 branches with equal no. of trading terminals. The business model of Stock Broking largely focused on owned branches in the initial years and has now graduated into the franchisee mode of expansion that will cater to PAN India target market.

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Rapid expansion has been made possible in this two-pronged strategy of owned and franchised outlets and is expected to have an end-state distribution, networking over 3000 branches.

As the business starts targeting the next level of mass affluent customers, expanding into wealth management and advisory space, same would also become a key thrust area that can potentially enhance profitability and shareholder value in the medium term.

Shiram Insight Logo:

Shiram Insight slogan:

About Shiram Insight:

The Group has also made investments in Manufacturing, Value Added Services, Project Development, Engineering Services, Pharmaceuticals, Machined & Auto Components, Press Dies & Sheet Metal Stamping, Packaging, Information Technology, Property Development etc.

Genesis of the Shriram phenomenon:

The 30,000 Cr Shriram Group had its humble beginnings in the Chit Fund business over three decades ago. R Thyagarajan, AVS Raja and T Jayaraman were the “three musketeers” who ventured into these businesses. Not many in the financial services industry thought at that time, this small Chit Funds business in Chennai would indeed be the foundation for the financial conglomerate that Shriram is today.

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3.2 Corporate Vision & Mission

Corporate Vision:

• Help smallest of Investors to create wealth.

• Take bourses to the masses through awareness.

• Provide efficient & transparent services.

• Build Relationship

Mission:

To develop & deliver the most innovative products, manage customer experience, deliver quality services that contributes to brand strength, establishes a competitive advantage and enhances profitability, thus providing value to the stakeholders of the bank.

3.3 Objective & Proficiency

Objective:

Shriram Group’s businesses strive to serve the largest number of common people. Consider these: Commercial Vehicle Financing, Consumer & Enterprise Finance, Retail Stock Broking, Life Insurance, Chit Funds and Distribution of Investment & Insurance Products. Our foray into Non-Life (General) Insurance is again a strong expression of this commitment.

Proficiency:

• Share Trading, Cash, Derivatives & Commodities.

• Call & Trade.

• Online (Internet) trading, with highly secured payment gateways through leading banks in India.

• Trading & Demat account at nominal cost.

• Margin Funding, Daily technical analysis, Intraday and position calls, Daily market report, and company result analysis.

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3.4 Milestones:

Year Milestone

1974 Commencement of Business – Shriram Chits

1979 Commencement of Business – Shriram Transport Finance Co (STFC)

1982 Commencement of Business – Shriram Investments Ltd.

1984 IPO of STFC

1986 Commencement of Business – Shriram City Union Finance Co. (SCUF)

1988 IPO of SCUF

1989 Commencement of Business – Shriram Overseas Finance Ltd.

1995 Commencement of Business- Shriram Properties Pvt Ltd.

1999 Commencement of Business – Shriram Insight Share Brokers Ltd.

1999 Citicorp CV financing tie up with STFC

2000 Commencement of Business – Shriram EPC Ltd.

2000 Commencement of Business – TAKE Solutions Ltd.

2004 Commencement of Business – Shriram Capital Ltd.

2005 Entry of Chryscapital as Partner with STFC & EPC

2005 Entry of Sanlam as Life Insurance business partner and commencement of business-

Shriram Life Insurance Co.

2006 Merger of Shriram Investments Ltd & Shriram Overseas Finance Ltd with STFC

2006 Commencement of Business – Shriram Fortune Solutions Ltd.

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2006 Commencement of Business – Shriram Value Services

2006 Entry of TPG as STFC’s partner

2007 Shriram EPC’s JV with Leitner Technologies for Manufacture of wind turbines

2007 EPC’s foray into Air Pollution Control with Hamon through JV

2007 Orient Green Power was founded by Shriram EPC

2007 IPO of TAKE Solutions Ltd.

2008 Commencement of Business – Shriram General Insurance Ltd.

2008 IPO of Shriram EPC Ltd.

2009 NCD Placement of Rs 10 Bn by STFC

2010 IPO of Orient Green power

Industrial Investments:

The Group has also made investments in Manufacturing, Value Added Services, Project Development, Engineering Services, Pharmaceuticals, Machined & Auto Components, Press Dies & Sheet Metal Stamping, Packaging, Information Technology, Property Development etc.

Non-Finanical service:

Shriram Group has always encouraged entrepreneurship by demonstrating continuous apetite for investing in start-up manufacturing business.

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3.5 About Founder:

Mr.R Thyagarajan, Founder

Chairman of the Shriram Group of Companies – Promoted the Shriram Group Companies in 1974. Today the group has over 15, 000 employees and operating through 700 locations and manage funds of over 15,000 Crores in the business of financial services including life insurance and general insurance.

• Masters in Mathematics

• Masters in Mathematical Statistics from Indian Statistical Institute

• Associate of Chartered Insurance Institute (A.C.I.1), London

• Visiting faculty of Asian Institute of Insurance, Philippines on Consequential Loss Insurance.

By inculcating the philosophy of “putting people first”, he has transformed the Shriram Group into India’s Premier Networked Financial Services Supermarket Chain. The Network Shriram comprises over 650 Branches and Service Centers, served by more than 6000 employees and 60,000 agents committed to ensuring world-class customer service. The Group’s aggregate turnover exceeds Rs. 5000 crores.

3.6 Shiram group Services :

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Financial Services :-

Helping Create Wealth. Empowering people through prosperity. Resulting in inclusive growth.The relentless pursuit of this mission, since our inception in 1974 has given the Shriram Group distinct identity. The Group’s reputation for effectiveness, transparency and integrity has helped it to become one of India’s largest Financial Services Network.The Group’s Financial Services Businesses manage assets exceeding Rs.40,000 crores, has 6.5 million clients, served by 1,00,000 Agents and 36,000 employees, through 2700 Branches across India.Our core financial services businesses are housed under the holding company Shriram Capital Ltd:

• Commercial Vehicle Finance

• Life Insurance

• General Insurance

• Consumer & Enterprise Finance

• Financial Product Distribution

• Retail Stock Broking

• Chit Funds

Non-Financial Services:

Shriram Group has always encouraged entrepreneurship by demonstrating continuous apetite for investing in start-up manufacturing business.

3.7 Corporate Management:

Board Of Directors:

Mr.Arun Duggal is an experienced international banker and has advised companies on financial strategy, M&A and capital raising.

He is Chairman of Board of Directors of Shriram, Shriram Properties Limited, Shriram City Union Finance Limited and Shriram EPC Limited. He is the Vice Chairman of International Asset Reconstruction Company.

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He is on the Board of Directors of Jubilant Energy NV., Patni Computers (Chairman – Audit Committee), Fidelity Fund Management, LNG Petronet (Nominee Director of Asian Development Bank), Manipal Acunova, Zuari Industries, Info Edge (India), Dish TV India , Mundra Port & SEZ, and Hertz (India). Mr. Duggal is Advisor to IMA (formerly Economist Intelligence Unit, India). He is a member of the Investment Committee of Axis Private Equity. He was on the Board of Governors of the National Institute of Bank Management. He is a Board Member and erstwhile Chairman of the American Chamber of Commerce, India.

Mr. Duggal is involved in several initiatives in social sector. He is a founder Director of Bellwether Microfinance Fund which provides equity capital to promising Micro Finance organizations and helps them in capacity building. He is a Trustee of Centre for Civil Society. New Delhi, which focuses on improving the quality and access of education to students especially for the poor. He is Senior Advisor (Asia Pacific ) to Transparency International Berlin, which is undertaking a number of initiatives to combat corruption problem around the world. Mr. Duggal had a 26 years career with Bank of America, mostly in the U.S. Hong Kong and Japan. His last assignment was as Chief Executive of Bank of America in India from 1998 to 2001. He spent ten years (1981-1990) with the New York Corporate Office of Bank of America handling multinational relationships.

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Essay Sauce, FORECASTING OF SECURITY PRICES USING RELATIVE STRENGTH INDEX. Available from:<http://www.essaysauce.com/finance-essays/forecasting-of-security-prices-using-relative-strength-index/> [Accessed 18-02-18].