Principles of Finance with Excel, 2 nd edition Instructor materials Chapter 14 Efficient markets
“Efficient markets” “Efficient markets” is term covering a variety of statements, all of which say that you cannot profit from publicly-available information 2
Four principles of Efficient Market 1. Single price for a single good 2. Price additivity 3. Information is critical 4. Transactions costs are important 3
Efficient markets principle 1: Single price for single good If a same good is traded at various places, then the price should be the same Example: IBM stock traded on New York Stock Exchange and on San Francisco Stock Exchange: Price should be the same 4
Transactions costs Limits to Principle 1 (same good, same price): If it costs to transport or to arbitrage Example: Could a pound of sugar have a different price in Miami and Chicago? Answer: Up to the transportation costs … 5
Efficient markets principle 2: Pricing additivity Portfolio is composed of two assets, A and B. Then Price[Portfolio]=Price[A] + Price[B] 6
Bond pricing: Application of price additivity Bond A: Sells today for $100, pays off $110 in year 1. Bond A IRR= 10% Bond B: Sells today for $100, pays off $125 in year 2. Bond B IRR = (125/110) =11.8% Bond C: Pays $23 in year 1 and $1023 in year 2. 7
Price additivity Use prices of Bond A and Bond B to price Bond C 8
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Open-end mutual funds 10
Open-end mutual fund Fund buys shares in companies Investors buy shares in the fund at price reflecting the total value of shares in fund: Mutual fund pricing reflects Value Additivity 11
Closed-end mutual funds: A failure of price additivity Fund buys shares in companies Fund shares are listed on stock market Investors buy shares in fund BUT: Often price additivity is violated 12
Closed-end fund example Zweig Fund Fund objective: “The Fund seeks capital appreciation, primarily through investment in equity securities, consistent with the preservation of capital and elimination of unnecessary risk, as determined by the Fund's Investment Adviser.” Most holdings publicly-traded stock 13
Zweig Fund major holdings 14
Zweig Fund trades at a discount 15
What is NAV? NAV stands for “net asset value” NAV = Sum of market values of fund components, divided by number of shares in fund Zweig trades at 8.71% less than the NAV 16
Zweig usually trades at a discount to NAV 17
Why does Zweig trade at discount? Open-end mutual fund: If there is excess demand, fund buys more assets If excess supply (redemptions), fund sells assets If there is a difference between fund price and NAV, you can arbitrage Closed-end mutual fund: Shares of fund trade separately from investment portfolio of fund 18
Principle 3: Cheap information is worthless Information is important, BUT: The more public is the information, the less it is worth 19
Weak-form market efficiency Weak-form efficiency: You cannot use past prices to predict future prices Why: Past prices are cheaply available to all Therefore worthless in predicting the future 20
Weak form efficiency: example “Technical analysis” of stocks: Using past prices to predict future prices Nonsense … ?? 21
Technical analysis The author does some technical analysis on Microsoft stock: “Resistance level”: stock tends not go up over this price (unless it does … ) “Floor” stock tends to stay above this price 22
Nonsense? At an earlier date, author also drew a floor: In March 2009, author suggested that $27.25 was a floor for MSFT stock. Was he right? 23
Semi-strong efficiency Weak-form efficiency: Previous price information is incorporated in current price Semi-strong efficiency: All publicly- available information is worthless. Prices, firm financial statements, etc… Sometimes true, sometimes not Principle: Cheap information is worthless But some publicly-available information may require work to understand … not cheap! 24
Strong-form efficiency All information worthless Almost certainly never true Example: Insiders have information about their companies Forbidden to reveal this information It’s valuable! 25
Take-aways In efficient markets The same good has the same price across markets, up to transactions costs Prices and values are additive: Value[A+B] = Value[A] + Value[B] Cheap information is worthless Transactions costs are important 26