上证联合研究计划第三期课题报告

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2002 1 25

2

1 1.1 1.2 2 2.1 2.2 3 3.1 3.2 3.3 4 4.1 4.2 4.3 5 5.1 5.2 5.3 6 6.1 6.2 6.3 6.4 6.5 7 7.1 7.2 7.3 3

1 1.1 IOSCO IOSCO1998 Risk Aversion Anomalies 4

Behavior Finance Science, BFS 2001 1996 12 4 Robert J. Shiller. (Irrational Exuberance) 10 1.2 5

1 2 3 1.2.1 1 2 3 4 5 6

6 7 1.2.2 1 2 3 1.2.3 1 2 3 7

2 (BFS, Behavior Finance Science) anomalies 20 50 80 2.1 Samuleson(1956)Fama1965 EMH Markowitz1952 MPT Williams 1938 SharpeLinter Mossin1966 CAPMRoss1976 APTBlack-Scholes1973 1 2 EMH 3 EMH 8

(cognitive bias ) Less than perfectly rational anomalies : DeLong,Shleifer 1990 2.2 9

Russell J. Fuller, Statman, Olsen 3 1936 (animal spirit) Burrell Bauman1951 Simon 1969 Slovic Kahneman Tversky Prospect Theory Shiller(1989 Volatility Odean Non-rational 20 90 Rabin(1998) Thaler Debondt Shrifin Stamann 10

2 3 3.1 2001 2 6022 99.7% 0.3% 1 1995 5000. 1999 5 19 2 2001 7 40 49.42%30 21.78% 68.56% 10 44.92% 3 10 130 11

4 5 3-1 1 120 2 2 50 3 4 5 6 7 1 2 3 4 12

3.2 3-1 13

3-1 Feedback loop 14

3-2 3-2 3.3 3.3.1 15

7894 1998 7 2001 11 1 2 3 3.3.2 70 3.3.3 2001 7 2001 12 4500 800 16

4 4.1 20 50 Maurice Allais 20 50 counter-example 70 Tversky Kahbaman Prospect Theory: an Analysisi of Decision Ender Risk Tversky Kahbaman 80 J.Fin1986 Odean Kahneman Kahneman Tversky 17

Tversky Kahbaman shleifer 4.2 heuristic decision processes 18

4.3 800 340 339 42.27% 80 4.3.1 certainty effect risk aversion 1 A 33% 2500 B 2400 66% 2400 1% 2 19

A 33% 2500 B 34% 2400 67% 66% 1 88.23%89.15% B 2 (85.12%86.56%) A 1 2 1 66% 2400 1 2 1 100% 2400 33%2500 66%2400 1 B 100% 2 33%2500 34%2400 1 A 80% 4000 B 100% 3000 2 A 25% 3000 B 20% 4000 1 (87.22%79.58%) A 2 (71.83%) B 4.3.2 20

10 1500 86.5% 13.5 10 23 23 4.3.3 A 99 99 B? 21

2001 11 19 11 19 12 19 1645 1672 1776 1645 A 1.4% 47.2% 48.6 B 25.6 43.6% 4.3.4 Kahneman Tversky1974 20%20% 20% 60% Kahneman Tversky 20 40 22.7 60 38.2 20 60 22

23

5 7894 5.1 1992 WTO 1 2001 1992 2000 46% 21% 17% 12% 4% 8 20% 16 8 50% 24

4 25% 3 19% 1 6% 2001 1992-2000 52 30 60% 1998 1998 2 3 Event Study Methodology Fama, Fisher, Jensen (1969),Brown and Warner (1980, 1985) MacKinlay1997 (event) window) (normal return) (abnormal return) : Constant Mean-Return (Market Model) 25

F E i, t = µ + ζ 2 ( ζ ) = o Var ( ζ ) = i, t i i, t i, t σ ζ i 1 CF = µ F i, t = logqi( t) i F t Q i, t i(t) t t i 1 µ CF i AF F CF 2 i,τ = i, τ 7894 1998 7 2001 11 1998 7 2001 11 1998 7 2001 11 7 5-1 5-1 1 1999 5 19 2 1999 9 9 3 3 2000 2 14 4 2000 8 22 5 2001 1 10 6 2001 7 24 7 2001 10 23 (estimation window) (event window) (post-event window) 5-1 26

5-1 T 0 T 1 0 T 2 T 3 T0 1 1 2 2 3 T T T T T 0 30 CAF, 1 CF 2 AF, AF, CAF i, CAF = AF i t i, T1 i, T1 CAF = AF, t=t, T +1,, T i, t CAFi, t 1 + i t i t 1 1 2 CAF i AF 3, t T = 2 t= T 1 it N N CAF N 1 CAFτ = CAR it 4 N i= 1 t t i t t t = CAF t S / N 4 5-2 5-3 5-4 5-2 27

t 95% t >1.96, 5-2 CAF t -15 0.010234056 0.129522571-0.148817296-14 0.011532578 0.251698892-0.308689175-13 0.018995271 0.338471068-0.406972459-12 -0.009845127 0.304596887-0.429101146-11 -0.091316403 0.217056974-0.502480905-10 -0.242281858 0.084992094-0.678647126-9 -0.338386063 0.012890981-0.806755454-8 -0.458985282-0.007940638-1.06037814-7 -0.578912776-0.031956268-1.30818812-6 -0.580332959-0.029975096-1.314143444-5 -0.655385784-0.035266565-1.482211409-4 -0.727779175-0.163838962-1.479699459-3 -0.712036099-0.129202754-1.489147226-2 -0.675466836-0.134635714-1.396575-1 -0.745831806-0.239089141-1.421488692 0-0.654674394-0.030840401-1.486453051 1-0.431591685 0.289672613-1.393277415 2-0.316267691 0.563308697-1.489036209 3-0.204562876 0.83376117-1.588994937 4-0.141420659 1.042799871-1.720381366 5-0.14068486 1.154931848-1.868173803 6-0.113206802 1.316046028-2.018877242 7-0.083209027 1.479768091-2.167178518 8-0.153082527 1.561229092-2.438831352 9-0.144838192 1.675413489-2.571840432 10-0.21513691 1.790825605-2.889753598 11-0.325270518 1.826927843-3.194868333 12-0.322757049 2.020361469-3.446915072 13-0.274326511 2.142002762-3.496098874 14-0.459545864 2.035051792-3.785676073 15-0.641252138 1.929153703-4.068459927 T 11.351 2.751 9.284 28

-0.4-15 -10-5 0 5 10 15 0.. : 30, 0 0.1 0-0.1-15 -10-5 0 5 10 15-0.2-0.3-0.5-0.6-0.7-0.8 5-2 2.5 2 1.5 1 5 0-0.5 : 30, 0-15 -10-5 0 5 10 15 0-0.5-1 -1.5-2 -2.5-3 -3.5-4 -4.5 : 30, 0 5-3 5-4 29

5.2 1 7894 700 2 (1) (2) (3) 4 3 1 30

T / T / 0.75 1.5 2 Benos (1998) Odean (1998a) ( ) Odean Benos (1998) Odean (1998a) 4 1 (a) -- < : H p s 0 : Rt + T Rt + T C H R p R s C 1 : t + T t + T < p R + t T 41 82 t T 31

s R t + T C 1.5 N1 b -- <0 p R t + T p s p s H : R t R 0 H : R t R 0 0 + T t + T N 2 1 + T t + T < (c) P s DR T Rt+ T Rt + T = N 1 N 2 H : DR T C 0 H : DR T < C 1 H 0 : DR T 0 H 1 : DR T < 0 (2) (a) P T R P p i= t+ T = 1 R P p i, t+ T p R, + i T i t T R p i, t+ T = P i, t+ T p Pi, t P p i, t p P, t i P i, t + T T i t 32

s S T R S s i= t+ T = 1 R S s i, t+ T s i R i, t + T (b) p (a) j R j, T R t + T s R j, T DR j, T (3) t t (Bootstrapped Skewness-Adjusted t -statistic). t DRT 1.5 t = σ (1) n DR T ; σ n DR j, T Barber and Lyon(1999a) t Johson(1978) Hall(1992)Sutton(1993) t t sa 1 = n S + 1 ˆ γs 2 + ˆ γ 3 6n DRT S = σ n ( ) 3 DRi, T DRT i= 1 ˆ γ = 3 nσ γˆ 33

ns (4) t t Barber and Lyon(1999a) t 5 (1) P t T N 41 82 R + 43209 4.53 8.23 R + 41903 6.33 10.76 s t T DR -1.80-2.53 T N 1 (0.001) (0.026) N 2 (0.001) (0.039) N N 1 N 2 p N 1N 2 95% (2) 34

? ( ) (a) (b) (c) Makerwitz 35

(3) 5.3 1 Odean1998bGervais Odean 1998 Caballe Sakovics1988 Grossman Stiglitz1980 Odean Grossman Stiglitz BarberOdean2000 78000 ( 1991 1 1997 1 ) 36

7894 1998 10 2001 10 2 1 2 3 7894 3 1 2 3 4 4 Barber Odean2000 3 37

1 0.75% 0.75 1.5% 2 3 a S F a = 1 T S a T T=3 3 R ht net h F a R net ht m gr ( Pit Cit ) i= 1 = m i= 1 F it 2 gr P C i F i it i it it m n R net = n 1 net Rh 3 n h= 1 38

4 A B 5 1 HIGH S >300 MIDDLE 100< S <300(LOW 0< S <100) 3 20 5-3 5-3 HIGH MIDDLE LOW H1 578-0.036228 M1 287 0.0387821 L1 49 0.2015092 H2 572-0.021769 M2 285 0.1327859 L2 46 0.1391173 H3 569 0.032122 M3 273 0.005228 L3 38 0.1476937 H4 564 0.006343 M4 270 0.0194127 L4 36 0.4526509 H5 533-0.041676 M5 261 0.0023859 L5 34 0.68105 H6 516-0.08937 M6 247 0.0237434 L6 27 0.0283771 39

H7 508 0.020872 M7 242-0.0222545 L7 27 0.2598346 H8 495-0.06615 M8 239 0.020076 L8 25 0.2449672 H9 471-0.00806 M9 227 0.0211249 L9 22 0.012893 H10 457-0.003893 M10 215-0.0039387 L10 22 0.3199677 H11 449-0.012527 M11 203 0.1239494 L11 19 0.4521472 H12 436 0.001834 M12 197-0.0003659 L12 19 0.0815585 H13 423 0.015819 M13 194 0.367047 L13 17 0.0127799 H14 412 0.045155 M14 188 0.0583333 L14 17 0.2155505 H15 394-0.009178 M15 175-0.0105882 L15 15 0.1817648 H16 367 0.009346 M16 166 0.0961683 L16 13 0.2116266 H17 354 0.008903 M17 145 0.0409835 L17 12 0.3813796 H18 318-0.013358 M18 139 0.017194 L18 10 0.9419193 H19 311 0.044364 M19 133 0.0121189 L19 9 0.1102392 H20 305-0.002792 M20 126-0.0129793 L20 7-0.0430405 451-0.0060122 210 0.046460337 23 0.251699284 2 1234 1726 39.87034%, 3 8.32% 54 5-4 1(low) 2middle 3(high) % 25.1699284 4.6460337-0.60122 % -14.7-35.22-40.47 % 16.85-3.67-8.92 5-5 40

5-5 4.95% 39.87% HIGH3 MIDDLE2-0.6% 4.64% 210 451 LOW1 23 25.17% 1998.10-2001.10 1998.10-2001.10 1-3 2 A. 7894 115 578 6 B 1998 10 2001 10 1234 1726 2200 39.87% 41

C 6 WTO 42

43

6 6.1 2001 7 126 130 0.5%, 15000 5019 4858 32.39% 2001 11 60 800 340 339 42.27% 44

6.2 1 ( ) 2 3 4 5 6-1 6-1 6.3 1 40 49.42%30 21.78% 2000 1999 40 40.79% 45

2 45.43% 28.71% 3 2,000 65.31% 6-1 68.56% 60% 63.54% 20% 6-2 10 44.92% 61.34% 6-3 / 6-1 46

1000 1000-2000 2000-3500 3500-6000 6000-8000 8000 28.74% 36.54% 21.34% 8.33% 2.38% 2.64% 6-2 20%20%-40% 40%-60% 60%-80% 80% 7.05% 4.78% 19.17% 33.94% 34.62% / 63.54% 10.08% 12.05% 9.25% 5.07% / 87.75% 4.15% 3.15% 2.65% 2.32% 6-3 80% 60%-80% 40%-60% 20%-40% 20% 17.58% 33.61% 28.42% 11.46% 9.94% 2.81% 5.03% 9.02% 10.66% 74.47% 1.88% 2.83% 4.72% 14.85% 75.71% 1.68% 3.19% 12.74% 21.92% 60.48% 0 0 0 1.23% 98.77% 0.65% 1.09% 1.52% 7.39% 89.35% (81.66%) 4 57.7% 4 2000, 2000 60.05% 30% 37.13% 2000 69.83% 2000 47

5 2001 12 89.22% 80.42% 87.78% 2001 6.4 1 86.19% 71.32% 82.74% 76.03% 2 72.63% 89.18% 10.82% 3 48

2-3 79.36% SIA Security Industry Association 2000 SIA 2000 60% 6 4 85.71% 64.51% 50% 82.75% 57.06% 12.95% 9.17% 9.25%43.35% 79.64% 49.41% 5 49

90% 70% 7% 50% 6 65.76% 86.89% 7 2001 8 50

9 55.59% 10 63.78% 50% 6.5 1 6-2 93.76% 51

39% 6% 23% 32% 6-2 50% 23.63% 2 81.41% 7889% 69.22% 75.68% 3 52

7 7.1 1 53

2 3 7-1 54

7-1 4 55

5 6 56

7 7.2 1 2 WTO 57

3 7.3 1 2 3 58

1 Barber, Brad M., Lyon, John D. and Tsai, Chih-Ling. Holding Size While Improving Power in Tests of Long-Run Abnormal Stock Returns, Journal of Finance, February 1999, 54(1), pp. 165-202. 2Benos, Alexandros V. Aggressiveness and Survival of Overconfident Trades, Journal of Financial Market. October 1998, 1(3-4) 3Brock, William; Lakonishok, Josef and LeBaron, Blake. Simple Technical Trading Rules and the Stochastic Properties of Stock Returns, Journal of Finance, December 1992, 47(5), pp. 1731-1764. 4 Grossman, Sanford J. and Stiglitz, Joseph E. On the Impossibility of Informationally Efficient Market, American Economic Review, 1980, 70(3), pp. 393-822. 5Ikenberry, David L.; Lakonishok, Josef and Vermaelen, Theo. Market Under-reaction to Open Market Share Repurchases., Journal of Financial Economics, October 1995, 39(2-3), pp. 181-208. 6Odean, Terrance. Do Investors Trade Too Much?, American Economic Review, December, 1999, pp.1279-1298 7Odean, Terrance. Volume, Volatility, Prices, and Profit When All Traders Are Above Average, Journal of Finance, December 1998a, 53(6), pp. 1887-1934. 8Sandeep Baliga. Implementation in Economic Environments with Incomplete Information: the Use of Multi-stage Games, Games and Economic Behavior 27,173-183(1999) 9Brett Trueman. Analyst Forecasts and Herding Behavior, The Review of Financial Studies spring 1994 Vol.7, No.1, pp.97-124 10Jim A.seida, William F. Wempe. Do Capital Gain Tax Rate Increases Affect Individual Investors Trading Decisions?, Journal of Accounting and Economics. 30 (2000) 33-57 11 Jon Elster. Emotions and Economic Theory, Journal of Economic Literature. march 1998.pp-47-74 12 Eugene F. Fama, Kennneth R. French, David D. Booth and Rex Sinquefield Difference in the Risks and Returns of NYSE and NASD Stocks, Financial Analysts Journal January February 1993 13Lois M. Shelton. Merger Market Dynamics: Insights Into the Behavior of Target and Bidder Firms, Journal of Economic Behavior & Organization Vol. 41 (2000) 363-383 14David W. Harless, Steven P. Peterson. Investor Behavior and the Persistence of Poorly- performing Mutual Funds, Journal of Economic Behavior & Organization Vol.37 (1998) 257-276 59

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