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Corporate Finance

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Corporate Finance ­FIN 622
Lesson 15
The following topics will be discussed in this lecture.
Risk and Uncertainty
Measuring risk
Variability of return ­ Historical Return
Variance of return
Standard Deviation
If you buy an asset or any stock or share, the gains or losses you get on this investment are called return on
investment. This return has normally two components. First, it is the income part that you may receive in
terms of dividend (owning a share) and second part comes from the capital appreciation or increase in the
market value of that share.
The above discussion suggests that the reward of return you get is the due to bearing the risk. Risk refers to
the variability of returns. You may get dividend on a share ­ say 2% or 15%, or even you may not get
anything from the issuing firm. Look at this simple example: the expected returns (income part only) can
vary from 0 to 15%. This is called risk. However, you can use probabilities to determine your return. For
instance, if the economy remains in boom, which has 60% chances, then our return will be 8%. So attaching
probability we can to some extent, determine the return under risk conditions.
The other important thing to remember is that ­ greater the risk, larger the profit.
Uncertainty, refers to a situation where our ability to attach a probability to an outcome is ceased.
From hereafter, we shall discuss the ways and means to measure the risk.
The problem with most financial planning is they accept a return rate on each of your investments and
project your financial future on those rates. The argument is over a span of years your investments will
return that rate "on average." Unfortunately this is an invalid and risky assumption. Investment rates vary
from year to year. Sometimes they vary greatly. We cannot accurately predict the return rate on investments
or the inflation rate. Consider the following simple example
You have $1000.00 invested and you expect a 10.0% average yearly return on your investment. In two years
your investment will be worth $1210.00.
Now lets assume your same $1000.00 returns -10.00% the first year and +30.00% the second. Your
investments after those two years are worth only $1170.00 even though your investment returned "on
average" 10.0%.
The above example demonstrates the need for a mechanism to account for the volatility of investment
return rates and the variability of inflation. The J&L Financial Planner has chosen to include two
alternatives, a Monte Carlo Analysis and a Historical Return Analysis, as that mechanism.
J&L Financial Planner's Historical Return Analysis
The following paragraphs outline how the Historical Return Analysis is implemented by the J&L Financial
The J&L Financial Planner allows you to create simple or complex financial scenarios (financial plans)
revolving around your existing accounts consisting of investment, retirement, asset, and equity accounts.
The planner allows you to create and assign up to 10 asset allocation classes for each of your accounts. A
simple example would have you create three asset allocation classes Stocks, Bonds, and Cash. You would
assign each account the percentage of each of its allocation classes. A mutual fund account may consist of
70 percent Stocks and 30 percent Bonds, whereas a savings account would be 100 percent Cash. For each
allocation class you assign a historical return data file representing the returns for that class over an
historical time span. The planner comes with 6 example data files including 2 stock files, 2 bond files, 1 cash
file, and an inflation file covering the years 1928 through 2003. The files are provided as examples and
should be replaced with data files which meet your needs. You can create and edit up to 10 files, each
corresponding to an asset allocation class.
The planner gives you two options with the Historical Return Analysis.
The first allows you to execute your financial plan over the historical time span. This generates your net
worth for each year of your plan based on the returns of the historical data starting with the first year of the
Corporate Finance ­FIN 622
data. In the provided files this would generate a net worth (a line graph) starting with the returns from 1928.
Next it would generate a net worth starting with the returns from 1929. It would do this for each year of
your financial plan.
The second allows you to randomly select return data from the historical data files and use that data to
calculate your net worth over the span of your financial plan. It also gives you the option of selecting the
number of sequential years the program will use. In other words, if you select 10 years of sequential data,
the program randomly selects the first year and then uses the data from the files for the following 9 years
before randomly selecting another year. For example if you choose the number of sequential years as 1 and
select 1000 trials it will randomly select return data from the historical data files for each year of your plan
and execute your plan 1000 times. This has the effect of a Monte Carlo analysis with the random data being
randomly selected from real historical return data.
In summary, the Historical Return Analysis is able to estimate the probability of achieving the success of
your scenario by accounting for the yearly variability in the two main factors contributing to its outcome,
the return rate on your investments and the inflation rate. You can execute up to a thousand trials of your
scenario. Each trial is a fully independent execution of your financial plan, where each year the return rate
on your investments and the inflation rate can take on a range of values based on historical asset class return
The large number of trials allows the analysis to compute the statistical probability your financial plan will
be successful. For example, if after 1000 trials, 750 of those trials achieved your financial goals, your
financial plan success rate is 75.0%.
If your financial plan success rate is below your expectations the J&L Financial Planner allows you to make
easy scenario changes to play "what-if" with your financial future.
The variance essentially measures the average squared difference between the actual returns and the average
return. The bigger this number is, the more the actual returns tend to differ from the average return. Also,
the larger the variance is the ore spread out the returns will be.
It is pertinent to note here that calculating variance and standard deviation will be different for historical
and projected returns.
This is usually very close to the correlation squared. To understand what variance explained means, think of
a manager and a Style Benchmark. Any variance in the difference between manager and Style Benchmark,
i.e., any variance in the excess return of manager over benchmark, represents a failure of the Style
Benchmark variance to explain the manager variance. Hence, the quotient of variance of excess return over
variance of manager represents the unexplained variance. The variance explained is 1 minus the unexplained
Variance Explained = 1 - Var (e) / Var (M)
Var (M) = variance of manager returns
Var (e) = variance of excess return of manager over benchmark
Were this set a sample drawn from a larger population of children, and the question at hand was the
standard deviation of the population, convention would replace the N (or 4) here with N-1 (or 3).
The standard deviation of a probability distribution is defined as the square root of the variance  ,
is the mean,
is the second raw moment, and  denotes an expectation value.
is therefore equal to the second central moment (i.e., moment about the mean),
The variance
Corporate Finance ­FIN 622
The square root of the sample variance of a set of
values is the sample standard deviation
The sample standard deviation distribution is a slightly complicated, though well-studied and well-
understood, function.
However, consistent with widespread inconsistent and ambiguous terminology, the square root of the bias-
corrected variance is sometimes also known as the standard deviation,
Physical scientists often use the term root-mean square as a synonym for standard deviation when they refer
to the square root of the mean squared deviation of a quantity from a given baseline.
The standard deviation arises naturally in mathematical statistics through its definition in terms of the
second central moment. However, a more natural but much less frequently encountered measure of average
deviation from the mean that is used in descriptive statistics is the so-called mean deviation.
The variants value producing a confidence interval CI is often denoted  , and
The following table lists the confidence intervals corresponding to the first few multiples of the standard
To find the standard deviation range corresponding to a given confidence interval, solve (5) for , giving
Table of Contents:
  4. Discounted Cash Flow, Effective Annual Interest Bond Valuation - introduction
  5. Features of Bond, Coupon Interest, Face value, Coupon rate, Duration or maturity date
  8. Capital Budgeting Definition and Process
  9. METHODS OF PROJECT EVALUATIONS, Net present value, Weighted Average Cost of Capital
  12. ADVANCE EVALUATION METHODS: Sensitivity analysis, Profitability analysis, Break even accounting, Break even - economic
  13. Economic Break Even, Operating Leverage, Capital Rationing, Hard & Soft Rationing, Single & Multi Period Rationing
  14. Single period, Multi-period capital rationing, Linear programming
  15. Risk and Uncertainty, Measuring risk, Variability of return–Historical Return, Variance of return, Standard Deviation
  16. Portfolio and Diversification, Portfolio and Variance, Risk–Systematic & Unsystematic, Beta – Measure of systematic risk, Aggressive & defensive stocks
  17. Security Market Line, Capital Asset Pricing Model – CAPM Calculating Over, Under valued stocks
  18. Cost of Capital & Capital Structure, Components of Capital, Cost of Equity, Estimating g or growth rate, Dividend growth model, Cost of Debt, Bonds, Cost of Preferred Stocks
  19. Venture Capital, Cost of Debt & Bond, Weighted average cost of debt, Tax and cost of debt, Cost of Loans & Leases, Overall cost of capital – WACC, WACC & Capital Budgeting
  20. When to use WACC, Pure Play, Capital Structure and Financial Leverage
  21. Home made leverage, Modigliani & Miller Model, How WACC remains constant, Business & Financial Risk, M & M model with taxes
  22. Problems associated with high gearing, Bankruptcy costs, Optimal capital structure, Dividend policy
  23. Dividend and value of firm, Dividend relevance, Residual dividend policy, Financial planning process and control
  24. Budgeting process, Purpose, functions of budgets, Cash budgets–Preparation & interpretation
  25. Cash flow statement Direct method Indirect method, Working capital management, Cash and operating cycle
  26. Working capital management, Risk, Profitability and Liquidity - Working capital policies, Conservative, Aggressive, Moderate
  27. Classification of working capital, Current Assets Financing – Hedging approach, Short term Vs long term financing
  28. Overtrading – Indications & remedies, Cash management, Motives for Cash holding, Cash flow problems and remedies, Investing surplus cash
  29. Miller-Orr Model of cash management, Inventory management, Inventory costs, Economic order quantity, Reorder level, Discounts and EOQ
  30. Inventory cost – Stock out cost, Economic Order Point, Just in time (JIT), Debtors Management, Credit Control Policy
  31. Cash discounts, Cost of discount, Shortening average collection period, Credit instrument, Analyzing credit policy, Revenue effect, Cost effect, Cost of debt o Probability of default
  32. Effects of discounts–Not effecting volume, Extension of credit, Factoring, Management of creditors, Mergers & Acquisitions
  33. Synergies, Types of mergers, Why mergers fail, Merger process, Acquisition consideration
  34. Acquisition Consideration, Valuation of shares
  35. Assets Based Share Valuations, Hybrid Valuation methods, Procedure for public, private takeover
  36. Corporate Restructuring, Divestment, Purpose of divestment, Buyouts, Types of buyouts, Financial distress
  37. Sources of financial distress, Effects of financial distress, Reorganization
  38. Currency Risks, Transaction exposure, Translation exposure, Economic exposure
  39. Future payment situation – hedging, Currency futures – features, CF – future payment in FCY
  40. CF–future receipt in FCY, Forward contract vs. currency futures, Interest rate risk, Hedging against interest rate, Forward rate agreements, Decision rule
  41. Interest rate future, Prices in futures, Hedging–short term interest rate (STIR), Scenario–Borrowing in ST and risk of rising interest, Scenario–deposit and risk of lowering interest rates on deposits, Options and Swaps, Features of opti
  43. Calculating financial benefit–Interest rate Option, Interest rate caps and floor, Swaps, Interest rate swaps, Currency swaps
  44. Exchange rate determination, Purchasing power parity theory, PPP model, International fisher effect, Exchange rate system, Fixed, Floating
  45. FOREIGN INVESTMENT: Motives, International operations, Export, Branch, Subsidiary, Joint venture, Licensing agreements, Political risk