LIANG PENG

Home Address:
  22 Trumbull Street, Apt. 1
  New Haven, CT 06511
  Tel: (203) 624-4848
Office Address:
  Department of Economics
  Yale University
  Box 208268
  New Haven, CT 06520-8268
  Fax: (203) 432-5779

Birth Date: November 1, 1972
Citizenship: China
Fields of Concentration
Financial Economics
Applied Econometrics
Desired Teaching:
Corporate Finance
Investment Management
Market Microstructure
Real Estate Finance
Venture Capital & Private Equity Investment
Comprehensive Examinations Completed:
May 1999 (Oral) Financial Economics and Econometrics with Distinction
May 1998 (Written) Macroeconomic and Microeconomic Theory
Dissertation Title:
Econometrics of Venture Capital
Committee:
Professor William N. Goetzmann (Chair)
Professor Zhiwu Chen
Professor Robert J. Shiller
Professor Matthew Spiegel
Expected Completion Date:
May 2002
Degrees:
Ph.D. (expected 2002), Yale University
M.Phil. 2000, Yale University
M.A. 1999, Yale University
M.S. 1997, Renmin University
B.S. 1994, Renmin University
Fellowships, Honors and Awards:
Coca-Cola World Fund, 2001
Yale University Dissertation Fellowship, 2001
Yale University Fellowship, 1997-2001
Guanghua Fellowship, 1995-1997
Ford Foundation Scholarship, 1994-1995
Teaching Experience:
Yale School of Management, 1999 and 2000
  Teaching Assistant for Professor Roger Ibbotson: "Corporate Finance II" (MBA course)
Yale Economics Department, 2000
  Teaching Assistant for Professor Ray Fair: "Intermediate Macroeconomics"
Yale Economics Department, 2001
  Teaching Assistant for Professor Donato Gerardi: "Intermediate Microeconomics"
Research Experience:
Graduate Research Fellow, Yale International Center for Finance, 1999-present
Research Associate, Old New York Stock Exchange Project, 1999-present
Research Fellow, Emerging Financial Market Project, 2001-present
Team Member, Yale NR Housing Assurance Project, 2001-present
Due Diligence Team Member, Sachem Ventures LLC, 2001-present
Publications:
"GMM Repeat Sales Price Indices," Real Estate Economics, accepted subject to editorial revisions.
 
"The Bias of The RSR Estimator and The Accuracy of Some Alternatives," (with William N. Goetzmann), Real Estate Economics, forthcoming.

"A New Historical Database for The NYSE 1815 To 1925: Performance and Predictability," (with William N. Goetzmann and Roger G. Ibbotson), Journal of Financial Markets, 2001, 4(1), 1-32.
Working Papers:
"Econometrics of Venture Capital," 2001, Yale ICF working paper [job market paper].

"Trading Takes Time," 2001, Yale ICF working paper. (currently under review at The Review of Financial Studies).

"Intraday Trading Patterns of Chinese Stock Markets," 2001, (with Zhiwu Chen and Matthew Spiegel), Yale ICF working paper.

"The Effect of Seller Reserves on Market Index Estimation," 2001, (with William N. Goetzmann) Yale ICF working paper .

"The Perils of Equal-weighted Real Estate Price Indices," 2001, Yale ICF working paper.
Work in Progress:
"Financial Contagion:  Wealth Effects or Information Asymmetry?" (with Zoral Ivkovich).

"Liquidity in Asset Pricing: Evidence from Twin Securities," (with Zhiwu Chen).

"Return to Scale in Venture Capital."
Conference Presentations:
American Real Estate and Urban Economics Association (AREUEA), January 2001, New Orleans
Inter-University Graduate Student Conference, April 2001, New York
Western Finance Association (WFA), June 2001, Tucson
Chinese Finance Association (CFA), August 2001, New York
German Finance Association (GFA), October 2001, Vienna (paper accepted)
Society of Quantitative Analysts (SQA), November 2001, New York
Professional Affiliations:
American Finance Association (AFA)
American Real Estate and Urban Economics Association (AREUEA)
Western Finance Association (WFA)
Society of Financial Studies (SFS)
Professional Activities:
Referee for Journal of Empirical Finance
Media Citations:
Pensions & Investments, June 2000 - profiled "A New Historical Database for the NYSE 1815 To 1925: Performance and Predictability"

Economic Intuition, winter 2001, Birth of a new index - profiled "Econometrics of Venture Capital"
References:
Professor William N. Goetzmann (Chair)
Yale School of Management
Box 208200
New Haven CT 06520-8200
Tel: (203) 432-5950
E-mail: william.goetzmann@yale.edu

Professor Robert Shiller
Yale Economics Department
Box 208281
New Haven CT 06520-8281
Tel: (203) 432-3708
E-mail: robert.shiller@yale.edu
Professor Zhiwu Chen
Yale School of Management
Box 208200
New Haven CT 06520-8200
Tel: (203) 432-5948
E-mail: zhiwu.chen@yale.edu

Professor Matthew Spiegel
Yale School of Management
Box 208200
New Haven CT 06520-8200
Tel: (203) 432-6017
E-mail: matthew.spiegel@yale.edu
Dissertation Abstract:
The venture capital industry has grown rapidly over the past ten years, due to increased institutional interest. However, the performance of venture capital investments is relatively unknown. Widely cited performance measures have no empirical basis, despite the billions of dollars flowing into the industry. The lack of information is essentially an econometric problem. It is hard to measure aggregate performance without frequent market valuation of assets. In fact, there are no data on market values of projects between investment and exit; also, the returns from investment to firms that have gone out of business or remain private are unknown. This dissertation addresses these econometric problems and investigates the risk and return of venture capital.

The first chapter, Valuing Illiquid Asset Portfolios, proposes a method of moments repeat sale regression (MM-RSR) for valuing illiquid asset portfolios. Illiquid assets, such as venture capital and real estate, are widely spread within the economy. Illiquid asset portfolios are difficult to value because assets are infrequently traded. The MM-RSR overcomes the infrequent trading problem. The method provides estimators that equal averages of individual asset returns. The estimators, therefore, strictly correspond to actual portfolio returns and essentially reduce to them when assets are frequently traded. Moreover, the method is able to value custom weighted portfolios so it helps evaluate different investing strategies. Simulations show that the method seems more accurate than several alternatives.

The second chapter, Econometrics of Venture Capital, constructs a value-weighted venture capital index from 1987 to 1999 based on 12,946 rounds of venture financing with 5,643 firms. We use the MM-RSR and a re-weighting procedure to overcome several econometric problems of valuing venture capital. The problems include unobserved project values between investment and exit and unknown values for firms that have gone out of business or remain private. We find large returns of venture capital. From 1987 to 1998, the geometric average return of the index is 35.21% per year, compared to 15.42% for NASDAQ and 13.32% for the S&P 500. Venture capital is much more volatile than both the S&P 500 and NASDAQ. Moreover, both the returns and the volatility of the venture capital index are significantly correlated with those of NASDAQ.

The third chapter investigates the Return to Scale in Venture Capital (in progress). We test two hypotheses. One is that large capital inflow predicts good future returns because money is smart. The other is that large capital flow predicts bad future returns because good investment opportunities are limited. The problem of return to scale is important because it is related to whether the large historical returns of venture capital and the associated asset allocation strategy are sustainable.

Other Papers (Selected):
Trading Takes Time
Market Microstructure, Information Economics
Traders need time to process information and put orders, and market makers are aware of that.  Consequently, if the time between two trades is short, the decision of the second trade is more likely to be based on stale quotes.  This leads to a positive relation between price impact and trade duration for clustering trades and a negative relation for reversing trades.  This paper develops a price impact model and estimates it using transactions of 10 actively traded stocks.  We find strong evidence of both relations.  Our analysis suggests that market makers believe that traders presently need at least 30 seconds to process information and put orders.