Company Analysis - Applied Valuation by Rajat Jhingan
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Transcript of Company Analysis - Applied Valuation by Rajat Jhingan
COMPANY ANALYSIS: APPLIED COMPANY ANALYSIS: APPLIED VALUATIONVALUATION
SAPMSAPMSecurity Analysis & Portfolio ManagementSecurity Analysis & Portfolio Management
PGDM FTPGDM FT(2008 - 2010)(2008 - 2010)
By: Rajat JhinganBy: Rajat Jhingan
Forecast not only the Forecast not only the Expected ReturnExpected Return but also the but also the Expected Expected
Risk Risk of an investmentof an investment.
There are 3 modern techniques of Analysis:
Regression Analysis
Trend Analysis
Decision Tree Analysis
Approaches to Stock Valuation
P/E ratio models
Dividend Discount Model2
COMPANY ANALYSIS: APPLIED COMPANY ANALYSIS: APPLIED VALUATIONVALUATION
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COMPANY ANALYSIS: APPLIED COMPANY ANALYSIS: APPLIED VALUATIONVALUATION
My Agenda:My Agenda:
Regression & Correlation Analysis
Trend Analysis
Decision Trees
Problem Areas in Implementing Newer Techniques
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COMPANY ANALYSIS: APPLIED COMPANY ANALYSIS: APPLIED VALUATIONVALUATION
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Regression Equations are built upon the relationships such as: Relationship between External Economic VariablesExternal Economic Variables &
Company Analysis Company Analysis (e.g. sales)
Relationship between Internal Company Variables Internal Company Variables & External Industry Variables.External Industry Variables.
Relationship Among Relationship Among : Industry (e.g. benchmark EPS), Economic(e.g. GNP) , Firm Variables (e.g. Cost of Funds) & Company Expenses.
Used for end – use analysis. Use of Statistical & Economic foundation. Able to link internal & external variables , revenue &
expenses & other complex interrelationships. 5
COMPANY ANALYSIS: APPLIED COMPANY ANALYSIS: APPLIED VALUATIONVALUATION
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Correlation acts as a specific measure of the explanatory power of a regression equation.
Correlation explains : How well the Independent Variable “explains”
the Dependent Variables in the Regression Equation.
Regression helps to establish functional relationship between two variables.
Regression Equation of Y on X Y = a + bX
X- X = rσy (Y – Y) σy
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COMPANY ANALYSIS: APPLIED COMPANY ANALYSIS: APPLIED VALUATIONVALUATION
r = r = cov (X,Y)cov (X,Y) σ σ x x σ σ yy
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TREND ANALYSISTREND ANALYSIS Trend Analysis of a Time Series utilizes regression
analysis. Differentiation between Trend Analysis & Regression
Analysis.
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COMPANY ANALYSIS: APPLIED COMPANY ANALYSIS: APPLIED VALUATIONVALUATION
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Equation of a fitted straight line – use for forecasting Y = a + bx
Y = Dependent Variable a = Constant (Y – intercept) b = Constant (Slope of a line) X = Time Period (Independent Variable)
Example : Using Method of Least Squares for Trend Analysis.
Formulas: Y = a+bX a = ∑Y/N , b = ∑XY/ ∑X2 8
COMPANY ANALYSIS: APPLIED COMPANY ANALYSIS: APPLIED VALUATIONVALUATION
Calculated from regression analysis.
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Make an estimate of profit for the year 1997?
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COMPANY ANALYSIS: APPLIED COMPANY ANALYSIS: APPLIED VALUATIONVALUATION
Y = a+bX a = ∑Y/N , b = ∑XY/ ∑X2
a = 76
b = 4.68
Y = 76 + 4.68 X
Estimated Profit For
1997, (replace X by +4)
Y = 76 +(4.86 * 4)
= 95.44 Thousand
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COMPANY ANALYSIS: APPLIED COMPANY ANALYSIS: APPLIED VALUATIONVALUATION
TREND LINETREND LINE
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Decision Trees Technique aimed to formalize & simplify the procedure
involved in the solution of a problem. It overcomes the criticism of traditional approaches:
Based on subjective analysis & resulted in a point estimate. Did not carry, formal measurement of probability. Lacked objective measurement of quality.
It assesses the alternative actions & probabilities existing in an investment environment.
It multiples various independent outcomes & their probabilities w.r.t. the desired sequence of occurring. 11
COMPANY ANALYSIS: APPLIED COMPANY ANALYSIS: APPLIED VALUATIONVALUATION
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Problem areas in implementation of newer techniquesProblem areas in implementation of newer techniques
Regression AnalysisRegression Analysis To develop plausible economic relationships between variables.
(Analysts Job) Relationship develops after Examination of past data Economical rational to explain logical relationship Application & Testing of Variables
Isolating key explanatory variables - time consuming process Requires understanding of: (both Analyst & Investor)
Firm’s mode of operation Structure & Performance of Industry
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COMPANY ANALYSIS: APPLIED COMPANY ANALYSIS: APPLIED VALUATIONVALUATION
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Problem areas in implementation of newer techniquesProblem areas in implementation of newer techniques
Decision TreesDecision Trees
Generating the necessary Input
Becomes a matter of simulation but not unrealistic
Insight to understand the working of firm & industry
Knowledge of historical salves volume, revenue, costs to determine the
probability of happening of event.
Continued watch on market, industry, firm & economy
Otherwise take help of Institutional Analysts:
E.g. - S&P, Crisil, Moodys, Vaule Line,Brokerage firm’s reports, Wall
Street Transcripts. 13
COMPANY ANALYSIS: APPLIED COMPANY ANALYSIS: APPLIED VALUATIONVALUATION
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