Pro forma balance sheet after 25% sales increase (5) ROSENGARTEN CORPORATION Pro forma balance sheet after 25% sales increase ($) (Δ,$) Assets Liabilities and Owner's Equity Current assets Current liabilites Cash $200 $40 A/P $375 $75 A/R 550 110 Notes payable 100 Inventory 750 150 Total $475 $1,500 $300 Long-term debt $800 $0 Fixed assets Owner's equity Net plant and Common stock equipment $2,250 $450 Retained earnings 1,100 $1,910 $110 Total assets $3,750 $750 Total liabilities and shareholder's equity $3,185 $185 Cap. Int. Ratio=3 3750/1250 External financing needed $565

EFN and Capacity Usage (overhead 27) Suppose Rosengarten is operating at 80% capacity: 1. sales at full capacity 1000/.8=1250 2. What is the capital intensity ratio at full capacity? 3300/1250 =2.64 3. What is EFN? 300-185=115 565-450=115 Conclusion: excess capacity reduces the need for external financing and capital intensity ratio

Pro forma balance sheet after 25% sales increase if no Δ FA needed (5) ROSENGARTEN CORPORATION Pro forma balance sheet after 25% sales increase if no Δ FA needed ($) (Δ,$) Assets Liabilities and Owner's Equity Current assets Current liabilites Cash $200 $40 A/P $375 $75 A/R 550 110 Notes payable 100 Inventory 750 150 Total $475 $1,500 $300 Long-term debt $800 $0 Fixed assets Owner's equity Net plant and Common stock equipment $1800 Retained earnings 1,100 $1,910 $110 Total assets $3,300 Total liabilities and shareholder's equity $3,185 $185 External financing needed 115

EFN and Capacity Usage (Homework) Suppose Rosengarten is operating at 86.95% capacity: 1. What would be sales at full capacity? 2. What is the capital intensity ratio at full capacity? 3. What is EFN (sales increase 25%)?

EFN and Capacity Usage (Homework) Full capacity=1000/.8695=1,150 Cap. Int. Ratio at full capacity: CA for full capacity sales 1,150 (15% increase) = 1,200*1.15=1,380 add 1800 FA TA=3,180 and divide by 1,150 sales =2.76 Addition to FA needed to increase sales to 1250: (1800/1150)*100=156.52 EFN = 115 +156.52=271.52

Arithmetic and Geometric Mean Stock Prices as follows P0= 12.4; P1= 13.2; P3= 14.35; P4= 17.4; P5= 11.9; Dividends = .2; .35; .40, .50; Calculate average return (arithmetic and geometric) Calculate variance and std

Chapter 12 Some Lessons from Capital Market History http://www.efinancialcareers-canada.com/ http://www.global-derivatives.com/index.php?option=com_content&task=view&id=54&Itemid=36

Chapter Overview Return of an investment: arithmetic and geometric The variability of returns Efficiency of capital markets

Return from a Security (1) Dollar return vs. percentage return Two sources of return dividend income capital gain (loss) realized or unrealized Capital Gain Dividend Yield

Mean Assume the distribution is normal Mean return - the most likely return A measure of centrality Best estimator of future expected returns

The First Lesson The difference between T-bills and other investment classes can be interpreted as a measure of the excess return on the risky asset Risk premium = the excess return required from an investment in a risky asset over a risk-free investment

Arithmetic vs. Geometric Averages (1) Geometric return = the average compound return earned per year over multiyear period Arithmetic average return = the return earned in an average (typical) year over a multiyear period Geometric average return =

Arithmetic vs. Geometric Averages (2) The geometric average tells what an investor has earned per year on average, compounded annually. The geometric average is smaller than the arithmetic (exception: 0 variability in returns) Geom. average ≈ arithmetic average – Var/2

Which Average to Use? Geometric mean is appropriate for making investment statements about past performance and for estimating returns over more than 1 period Arithmetic mean is appropriate for making investment statements in a forward-looking context and for estimating average return over 1 period horizon

The Variability of Returns Variance = the average squared deviation between the actual return and the average return Standard deviation = the positive square root of the variance

Standard Deviation Measure of dispersion of the returns’ distribution Used as a measure of risk Can be more easily interpreted than the variance because the standard deviation is expressed in the same units as observations

The Normal Distribution (1) A symmetric, bell-shaped frequency distribution Can be completely described by the mean and standard deviation

The Normal Distribution (2)

Z-score For any normal random variable: Z – z-score X – normal random variable - mean http://www.mathsisfun.com/data/standard- normal-distribution-table.html

Yet Another Measure of Risk How much can a bank lose during one year? Usually reported at 5% or 1% level VaR = statistical measure of maximum loss used by banks and other financial institutions to manage risk exposures

The Second Lesson The greater the potential reward the greater the risk Which types of securities have higher potential reward?

Capital Market Efficiency Efficient capital market - market in which security prices reflect available information Efficient market hypothesis - the hypothesis that actual capital markets are efficient

What assumptions imply efficient capital market? Large number of profit-maximizing participants analyze and value securities New information about the securities come in random fashion Profit-maximizing investors adjust security price rapidly to reflect the effect of new information

Forms of Market Efficiency Weak form – the current price of a stock reflects its own past prices Semistrong form – all public information is reflected in stock price Strong form – all information (private and public) is reflected in stock prices

Weak Form Efficiency Current stock price reflects all security market information You should gain little from the use of any trading rule that decides whether to buy/sell security based on the passed security market data Major markets (TSX, NYSE, NASDAQ) are at least weak form efficient January effect

Semistrong Form Efficiency Mutual fund managers have no special ability to beat the market Event studies (IPO, stock splits) support the semistrong hypothesis Quarterly earnings surprise – test results indicate abnormal returns during 13-26 weeks following the announcement of large unanticipated earnings change (earnings surprise) in a company

Strong Form Efficiency No group of investors has access to private information that will allow them to consistently experience above average profits Evidence shows that corporate insiders and stock exchange specialists are able to derive above-average profits