quiet bubbles
play

Quiet Bubbles H. Hong D. Sraer June 9, 2011 Motivation: Loud - PowerPoint PPT Presentation

Quiet Bubbles H. Hong D. Sraer June 9, 2011 Motivation: Loud versus Quiet Bubbles Classic speculative episodes associates high prices, high price volatility and high turnover (Hong and Stein 07). Internet stocks during 1996-2000: (1)


  1. Quiet Bubbles H. Hong D. Sraer June 9, 2011

  2. Motivation: Loud versus Quiet Bubbles • Classic speculative episodes associates high prices, high price volatility and high turnover (Hong and Stein ’07). • Internet stocks during 1996-2000: (1) price volatility excess of 100% and (2) more than 20% of stock market turnover. • Over-trading as investors buy in anticipation of capital gains. • Credit bubble in AAA/AA tranches of subprime mortgage CDOs important in financial crisis (Coval et al. 09).

  3. Motivation: Loud versus Quiet Bubbles • However, this credit bubble seems quiet: high price but low price volatility and low turnover. 1. ABX prices of CDO tranches, especially AA and AAA, not volatile until beginning of crisis. 2. Little turnover of these securities. (anecdotal evidence) 3. CDS prices for insurance against default of finance companies extremely cheap and not volatile.

  4. Our Paper • Role of payoff concavity in a model of speculative bubbles (Scheinkman-Xiong ’03, Harrison-Kreps ’79) • What are the trading patterns associated with a credit bubble? Main intuition: • Pure resale option framework: investors buy an asset anticipating tomorrow’s (1) disagreement and (2) binding short-sales constraints. • With concave payoff, less scope for disagreement ⇒ lower resale option. • lower resale option ⇒ lower turnover, volatility.

  5. Concave payoffs reduce the scope for disagreement. Belief about Equity � Belief about Credit � expected payoff � expected payoff � G+ � � Scope for � (G+ � ) � G disagreement � Scope for � (G) � disagreement � G- � � � (G- � ) � G- � � G G+ � � G+ � � G G- � � Belief about Belief about fundamental � fundamental �

  6. Main Results 1. Credit bubble has smaller resale option than equity bubble. ⇒ debt less disagreement sensitive than equity. 2. Deterioration in fundamental leads to (1) larger bubble (2) more volume (3) more volatility. • Contrasts with models of adverse selection (Dang et al ’10).

  7. Deterioration in fundamentals ⇒ louder and larger bubbles Belief about Low Belief about High expected payoff � fundamental � expected payoff � fundamental � � (G+ � ) � � (G+ � ) � Scope for � (G ) � � (G ) � disagreement � � (G- � ) � Scope for disagreement � � (G- � ) � G G- � � G+ � � Belief about Belief about G G- � � G+ � � fundamental � fundamental �

  8. Main results (continued) 1. Credit bubble has smaller resale option than equity bubble. ⇒ debt less disagreement sensitive than equity. 2. Deterioration in fundamental leads to (1) larger bubble (2) more volume (3) more volatility. • Contrasts with models of adverse selection (Dang et al ’10). 3. Large credit mispricing requires either: • more leverage (magnify disagreement) • more average investor optimism. 4. Optimist bias makes credit (not equity) mispricing quiet. • A rise in optimism (sentiment) makes credit bubbles (not equity ones) larger and quieter.

  9. Sketch of the model: risky asset • Three dates t = 0, 1, 2. Risk neutral agents. No discounting. • Supply Q of risky credit w/ face value of D and date-2 payoff: � � D , ˜ ˜ m 2 = min where G 2 = G + ǫ 2 , and ǫ 2 ∼ Φ( . ) . G 2 • Expected payoff with unbiased belief: Z D − G π ( G ) = E [ m 2 | v ] = ( G + ǫ 2 ) φ ( ǫ 2 ) d ǫ 2 + D (1 − Φ ( D − G )) . −∞ • Works more generally with any concave payoff function π ().

  10. Sketch of the model: agents beliefs • Two groups of agents (A and B) w/ homogenous priors about fundamental. ˜ V 2 = G + b + ǫ 2 , where b is aggregate bias • At t=1, agents beliefs about fundamental becomes: G + b + η A + ǫ 2 � for group A agents G + b + η B + ǫ 2 for group B agents • Where η A and η B are i.i.d. with normal C.D.F. Φ().

  11. Leverage and trading costs • Reduced form view of leverage: cost of borrowing. • Agents endowed with 0 liquid wealth but large illiquid wealth W (pledgeable at date 2). • Access to an imperfectly competitive credit market: banks charge > 0 interest rates for risk-free loans. • Quadratic trading costs to have finite positions: c (∆ n t ) = ( n t − n t − 1 ) 2 , 2 γ • Trading costs allow equilibrium to exist – results similar in CARA/Gaussian framework.

  12. Moments Construct a dynamic equilibrium and analyze following moments: 1. Ex ante mispricing: P 0 relative to no short-sales constraint / no aggregate bias (b=0) prices. 2. Price volatility between 0 and 1: � � 2 � P 1 ( η A , η B ) − m d Φ( η A ) d Φ( η B ) σ P = η A ,η B � η A ,η B P 1 ( η A , η B ) d Φ( η A ) d Φ( η B ) is average date-1 price. m = 3. Share turnover between 0 and 1: � η A ,η B T ( η A , η B ) d Φ( η A ) d Φ( η B ) T = with T ( η A , η B ) = � � n A 1 ( η A , η B ) − n A 0 ( η A , η B ) � �

  13. Moments Construct a dynamic equilibrium and analyze following moments: 1. Ex ante mispricing: P 0 relative to no short-sales constraint / no aggregate bias (b=0) prices. 2. Price volatility between 0 and 1: � � 2 � P 1 ( η A , η B ) − m d Φ( η A ) d Φ( η B ) σ P = η A ,η B � η A ,η B P 1 ( η A , η B ) d Φ( η A ) d Φ( η B ) is average date-1 price. m = 3. Share turnover between 0 and 1: � η A ,η B T ( η A , η B ) d Φ( η A ) d Φ( η B ) T = with T ( η A , η B ) = � � n A 1 ( η A , η B ) − n A 0 ( η A , η B ) � �

  14. Moments Construct a dynamic equilibrium and analyze following moments: 1. Ex ante mispricing: P 0 relative to no short-sales constraint / no aggregate bias (b=0) prices. 2. Price volatility between 0 and 1: � � 2 � P 1 ( η A , η B ) − m d Φ( η A ) d Φ( η B ) σ P = η A ,η B � η A ,η B P 1 ( η A , η B ) d Φ( η A ) d Φ( η B ) is average date-1 price. m = 3. Share turnover between 0 and 1: � η A ,η B T ( η A , η B ) d Φ( η A ) d Φ( η B ) T = with T ( η A , η B ) = � � n A 1 ( η A , η B ) − n A 0 ( η A , η B ) � �

  15. Date-1 equilibrium 1. Both groups are long (low leverage/high supply/small shocks): � < 2 Q � � � π ( η A ) − π ( η B ) � � µγ ⇒ P 1 = µπ ( η A ) + π ( η B ) and T = µγ � � � π ( η A ) − π ( η B ) � � 2 2 � 2. Group i sidelined (high leverage/low supply/large relative shock): π ( η i ) − π ( η j ) ≥ 2 Q µγ ⇒ P 1 = µπ ( η i ) − Q γ and T = Q

  16. Date-1 equilibrium 1. Both groups are long (low leverage/high supply/small shocks): � < 2 Q � � � π ( η A ) − π ( η B ) � � µγ ⇒ P 1 = µπ ( η A ) + π ( η B ) and T = µγ � � � π ( η A ) − π ( η B ) � � 2 2 � 2. Group i sidelined (high leverage/low supply/large relative shock): π ( η i ) − π ( η j ) ≥ 2 Q µγ ⇒ P 1 = µπ ( η i ) − Q γ and T = Q

  17. Date-0 equilibrium • Agents select date-0 holdings anticipating date-1 equilibrium. • Market clearing condition ( n A 0 + n B 0 = 2 Q ) gives P 0 . • Symmetric equilibrium: n A 0 = n B 0 = Q . 2 3 Z ∞ „ « Z ∞ 6 7 µπ ( y ) − 2 Q 5 d Φ( y ) − Q 6 7 P 0 = Φ ( x ( y )) + µπ ( x ) d Φ( x ) 6 7 γ γ 4 x ( y ) −∞ | {z } |{z} | {z } supply short-sales constraint no short-sales

  18. Equilibrium moments: bubble • Bubble can be decomposed in two terms: Z x ( y ) ! Z ∞ „ « µπ ( y ) − µπ ( x ) − 2 Q + ˆ P 0 − ¯ bubble = d Φ( x ) d Φ( y ) P 0 γ | {z } −∞ −∞ optimism | {z } resale option • ¯ P 0 is the price when b = 0 and no short-sales constraint • ˆ P 0 is the no-short-sales constraint price with aggregate bias b .

  19. Equilibrium moments: turnover • Expected turnover: 0 1 Z ¯ Z ∞ x ( y ) B C µγ | π ( y ) − π ( x ) | B C T = @ Q (Φ( x ( y )) + (1 − Φ(¯ x ( y ))) + d Φ( x ) A d Φ( y ) B C 2 | {z } x ( y ) −∞ A,B short-sale constrained | {z } no short-sale constraint • Mechanic link between turnover and mispricing: • Turnover maximized when short-sales constraints are binding. • Resale option maximized when short-sales constraints are binding.

  20. Comparative statics: credit riskiness Proposition 1: An increase in D leads to larger mispricing, larger turnover and larger volatility. • Intuition: as D increases, credit becomes more disagreemeent sensitive. ⇒ Larger resale option ⇒ Larger mispricing ⇒ Larger turnover, volatility. • Thus, credit bubbles are quiet – and small. • In the pure resale option framework, noise and prices goes hand in hand.

  21. Comparative statics: optimism Proposition 2: An increase in b leads to larger mispricing, lower turnover and lower volatility. • Intuition: as b increases, credit becomes safer in the agents’ eyes. ⇒ credit becomes less disagreemeent sensitive. ⇒ lower resale option ⇒ lower turnover, volatility. • Lower resale option, but larger bubble from optimism. • When optimisim rises, credit bubbles quieter and larger. • Optimism decouple turnover/volatility and price. • Important: b leaves unchanged an equity bubble.

Download Presentation
Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend


More recommend