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0501
The Relationship between Stock Returns and Volatility in International Stock Markets
Qi Li
Private Enterprise Research Center
Department of Economics
Texas A&M University

Jian Yang
Department of Accounting, Finance, and MIS
Prairie View A&M University

Cheng Hsiao
Department of Economics
University of Southern California

Young-Jae Chang
Department of Business Administration
Inje University
This study examines the relationship between expected stock returns and volatility in the twelve largest international stock markets during January 1980 - December 2001. Consistent with most previous studies, we find a positive but insignificant relationship during the sample period for the majority of the markets based on parametric EGARCH-M models. However, using a flexible semiparametric specification of conditional variance, we find evidence of a significant negative relationship between expected returns and volatility in six out of the twelve markets. The results lend some support to the recent claim (Bekaert and Wu, 2000; Whitelaw, 2000) that stock market returns are negatively correlated with stock market volatility.
Published in Journal of Empirical Finance, 2005
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0502
The Emerging Market Crisis and Stock Market Linkages: Further Evidence
Qi Li
Private Enterprise Research Center
Department of Economics
Texas A&M University

Jian Yang
Department of Accounting, Finance, and MIS
Prairie View A&M University

Cheng Hsiao
Department of Economics
University of Southern California

Zijun Wang
Private Enterprise Research Center
Texas A&M University
This study examines the long-run price relationship and the dynamic price transmission among the U.S., Germany, and four major Eastern European emerging stock markets, with particular attention to the impact of the 1998 Russian financial crisis. The results show that both the long-run price relationship and the dynamic price transmission were strengthened among these markets after the crisis. The influence of Germany became noticeable on all the Eastern European markets only after the crisis but not before the crisis. We also conduct a rolling generalized VAR analysis to confirm the robustness of the main findings.
Published in Journal of Applied Econometrics, 2006
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0503
Transaction Tax and Stock Market Behavior: Evidence from an Emerging Market
Badi Baltagi
Private Enterprise Research Center
Department of Economics
Texas A&M University

Qi Li
Private Enterprise Research Center
Department of Economics
Texas A&M University

Dong Li
Department of Economics
Kansas State University
This study examines the impact of a stamp tax rate increase on market behavior, using data from two stock exchanges in China. We find that when the tax rate increases from 0.3 to 0.5% (which implies that the transaction cost increases by about 1/3) trading volume decreases by 1/3. This implies an elasticity of turnover with respect to a stamp tax of -50% and an elasticity of turnover with respect to transaction cost of -100%. The markets' volatility significantly increases after the increase in the tax rate. Furthermore, the change in the volatility structure indicates that the markets become less efficient in the sense that shocks are less quickly assimilated in the markets.
Published in Empirical Economics, 2006
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0504
Interest Rate Linkages in the Eurocurrency Market: Contemporaneous and Out-of-Sample Granger Causality Tests
Zijun Wang
Private Enterprise Research Center
Texas A&M University

Qi Li
Private Enterprise Research Center
Department of Economics
Texas A&M University

Jian Yang
Department of Accounting, Finance, and MIS
Prairie View A&M University
This paper examines linkages among major Eurocurrency interest rates during 1994–2002. Eurocurrency interest rate causal linkages are found to be much stronger with additional allowance for contemporaneous causality test results than the inference based solely on Granger causality tests. The impact of U.S. interest rates is clearly not dominant in the Eurocurrency markets, while the Japanese interest rates are found to be quite influential. German interest rates both cause, and are caused by, several other Eurocurrency interest rates. By contrast, interest rates on the new currency, the Euro, do not have a substantial influence on other Eurocurrency interest rates, which underscores its emerging status.
Published in Journal of International Money and Finance, 2007
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0505
Nonparametric Estimation of Conditional CDF and Quantile Functions with Mixed Categorical and Continuous Data
Qi Li
Private Enterprise Research Center
Department of Economics
Texas A&M University

Jeff Racine
Department of Economics
McMaster University
We propose a new nonparametric conditional CDF kernel estimator that admits a mix of discrete and categorical data along with an associated nonparametric conditional quantile estimator. Bandwidth selection for kernel quantile regression remains an open topic of research. We employ a conditional PDF based bandwidth selector proposed by Hall, Racine & Li (2004) that can automatically remove irrelevant variables and has impressive performance in this setting. We provide theoretical underpinnings including rates of convergence and limiting distributions. Simulations demonstrate that this approach performs quite well relative to its peers, while two illustrative examples serve to underscore its value in applied settings.
Forthcoming in Journal of Business and Economic Statistics
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0506
Implementation of Marginal Cost Pricing Equilibrium Allocations with Transfers in Economies with Increasing Returns to Scale
Guoqiang Tian
Private Enterprise Research Center
Department of Economics
Texas A&M University
This paper considers implementation of marginal cost pricing equilibrium correspondence with transfers, which characterizes Pareto efficient allocations for production economies in the presence of increasing returns to scale, when production sets, preferences and individual endowments are all unknown to the planner. We present a generalized mechanism in which the set of social equilibrium allocations of the generalized mechanism coincide with the set of (constrained) marginal cost pricing equilibrium allocations with transfers for economies with increasing returns to scale. The mechanism is elementary and natural. It has some nice properties such as feasibility, continuity, forthrightness, and best response. It uses a finite-dimensional message space. Furthermore, it works not only for three or more agents, but also for two-agent economies.
Click 0506 to view the paper in pdf format.
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0507
On the Informational Requirements of Decentralized Pareto-Satisfactory Mechanisms in Economies with Increasing Returns
Guoqiang Tian
Private Enterprise Research Center
Department of Economics
Texas A&M University
This paper investigates the dimension requirements of informationally decentralized Pareto-satisfactory processes in production economies with increasing returns to scale or more general types of non-convexities. We show that the marginal cost pricing (MCP) mechanism is informationally efficient over the class of non-convex production economies where MCP equilibrium allocations are Pareto efficient. We then discuss the informational requirements of realizing Pareto efficient allocations for a general class of non-convex production economies. We do so by examining the dimension of the message space of the marginal cost pricing mechanism with transfers. Since the set of marginal cost pricing equilibrium allocations with transfers contains Pareto efficient allocations as a subset for every economy under consideration, Pareto efficient allocations can be realized through the MCP mechanism with transfers, which is informationally decentralized and has a finite-dimensional message space. This result is sharply contrasted to the impossibility result given in Calsamigla (1977).
Click 0507 to view the paper in pdf format.
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0508
Efficiency of Thin and Thick Markets
Li Gan
Department of Economics
University of Texas - Austin

Qi Li
Private Enterprise Research Center
Department of Economics
Texas A&M University
In this paper, we propose a matching model to study the efficiency of thin and thick markets. Our model shows that the probabilities of matches in a thin market are significantly lower than those in a thick market. When applying our results to a job search model, it implies that, if the ratio of job candidates to job openings remains (roughly) a constant, the probability that a person can find a job is higher in a thick market than in a thin market. We apply our matching model to the U.S. academic market for new PhD economists. Consistent with the prediction of our model, a field of specialization with more job openings and more candidates has a higher probability of matching.
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0509
A Field Test of Prospect Theory: Strategic Behavior in Major League Baseball, 1985-1992
Asghar Zardkoohi
Private Enterprise Research Center
Department of Management
Texas A&M University

Michael W. Pustay
Department of Management
Mays Business School
Texas A&M University

Albert Cannella
Department of Management
Arizona State University

Michael Holmes
Department of Management
Mays Business School
Texas A&M University
Much of the insights and advances in the decision making literature have been based on lab studies. The scant literature that applies the findings of this literature to field settings does so at the aggregate or organizational level. Since decisions are made by individuals but not by organizations per se, research is needed to shed light on the intricacies of individual decision making in the real world. This study examines decision making under risk in a field setting. We compare the predictions of prospect theory for making a risky choice with the predictions of expected utility theory. Using a sample of Major League Baseball (MLB) teams and a decision situation involving whether or not to attempt to steal second base, we conclude that prospect theory provides a better explanation of the decisions that are observed. We argue that, since decisions in the game of baseball are made under uncertainty, are complex (i.e., rely on a number interrelated parameters), and require quick actions, our results have important implications for decision-making in organizations, as within a wide range of circumstances most business decisions share similar characteristics.
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0510
From the Shadow Price of Capital to the Marginal Cost of Funds: In Search of the Implementation of a Principle
Liqun Liu
Private Enterprise Research Center
Texas A&M University
The #folk principle# for multi-period project evaluation states that if all the costs and benefits of a project are expressed as withdraws from and increments to private consumption at different time points, then the appropriate discount rate is the consumer's rate of interest. The shadow price of capital (SPC) approach intends to implement this principle using the concept of SPC but faces serious practical difficulties. By taking a utility-based perspective, this paper explains why the SPC approach cannot fully implement the folk principle even conceptually. Then, it derives, as a complete implementation of the folk principle, a multi-period cost-benefit rule that is based on the concept of the marginal cost of funds (MCF). The MCF approach also has a practical edge over the SPC approach in terms of implementability and generalizability.
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0511
Is Value Premium a Proxy for Time-Varying Investment Opportunities: Some Time Series Evidence
Hui Guo
Research Division
Federal Reserve Bank of St. Louis

Robert Savickas
Department of Finance
George Washington University

Zijun Wang
Private Enterprise Research Center
Texas A&M University

Jian Yang
Department of Accounting, Finance, and MIS
Prairie View A&M University
Campbell and Vuolteenaho (2004) and Brennan, Wang and Xia (2004) recently argue that the value premium co-moves with investment opportunities and thus reflects rational pricing. This paper extends their analysis by showing that the ICAPM interpretation of the value premium also sheds light on the puzzling empirical relation between the stock market risk and return across time. That is, in contrast with many early authors, it is found to be positive and highly significant after controlling for the covariance between the stock market return and the value premium. Moreover, we also document a positive and significant relation between the value premium and its conditional variance over the post-1963 period. Our results, which appear to be robust using both the realized volatility model and the GARCH model, confirm that the value premium cannot be completely attributed to data mining and irrational pricing.
Forthcoming in Journal of Financial and Quantitative Analysis, 2008
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0512
International Transmission of Inflation among G-7 countries: A Data-Determined VAR Analysis
Jian Yang
Department of Accounting, Finance, and MIS
Prairie View A&M University

Hui Guo
Research Division
Federal Reserve Bank of St. Louis

Zijun Wang
Private Enterprise Research Center
Texas A&M University

We investigate the international transmission of inflation among G-7 countries using data-determined vector autoregression analysis, as advocated by Swanson and Granger [Swanson, N., Granger, C., 1997. Impulse response functions based on a causal approach to residual orthogonalization in vector autoregressions. Journal of the American Statistical Association 92, 357–367]. Over the period 1973–2003, we find that unexpected changes in US inflation have large effects on inflation in other countries, although they are not always the dominant international factor. Similarly, shocks to some other countries also have a statistically and economically significant influence on US inflation. Moreover, our evidence indicates that US inflation has become less vulnerable to foreign shocks since the early 1990s, mainly because of the diminished influence from Germany and France.

Published in Journal of Banking and Finance, 2006
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0513
Evaluating the "Fed model" of Stock Price Valuation: An Out-of-Sample Forecasting Perspective
Dennis Jansen
Private Enterprise Research Center
Department of Economics
Texas A&M University

Zijun Wang
Private Enterprise Research Center
Texas A&M University
The "Fed Model" of stock market valuation postulates a cointegrating relationship between the equity yield on the S&P 500 (earnings over index value) and the bond yield. We evaluate the Fed Model as a vector error correction forecasting model for stock prices and for bond yields, and compare out-of-sample forecasts of each of these two variables from the Fed Model to forecasts from alternative models that include a univariate model, a nonlinear vector error correction model, and a set of modified vector error correction models. We find that the Fed Model does not improve on the forecasts of the univariate models at short horizons, but that the Fed Model is able to improve on the univariate model for longer-horizon forecasts, especially for stock prices. The nonlinear vector error correction model performs even better than its linear version as a multiple month ahead forecasting model for stock prices, although this does not hold true for forecasts of the bond yield.
Published in Advances in Econometrics, 2006
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0514
Regime Switching in the Dynamic Relationship Between Stock Returns and Inflation
Dennis Jansen
Private Enterprise Research Center
Department of Economics
Texas A&M University

Dandan Liu
Department of Economics
Bowling Green State University

Qi Li
Private Enterprise Research Center
Department of Economics
Texas A&M University
This study examines nonlinear dynamic relationships between stock returns and inflation in ten major stock markets. Using Hansen and Seo's (2002) threshold error correction model to allow for possible regime shifts in the dynamic relationship between the two variables, threshold effects are found in the adjustment towards the long-run equilibrium relationship between stock returns and inflation for three out of the ten countries considered in this study (France, Switzerland and the USA). Nevertheless, the nonlinear adjustment mechanism is not uniform but rather it is country-specific.
Published in Applied Financial Economics Letters, 2005
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0515
The Long-Run Relationship between Gross Domestic Product Growth and Stock Returns
Liqun Liu
Private Enterprise Research Center
Texas A&M University

Andrew J. Rettenmaier
Private Enterprise Research Center
Texas A&M University

Zijun Wang
Private Enterprise Research Center
Texas A&M University
A basic belief held by the opponents of personal retirement accounts is that stock returns are fundamentally determined by the GDP growth rate. We suggest that the GDP growth rate is related to the return on capital, but that it is also a function of net investments. Because GDP growth is positively related to net investments, declining net investments imply lower GDP growth even with stable returns on capital. Critics of personal accounts argue that the lower long-run GDP growth assumptions of the Social Security Trustees are at odds with the assumption that future stock market returns will be as high in the future as they have been historically. An increase in the dividend-price ratio in response to the decrease in GDP growth along with earnings growth in excess of domestic GDP growth, given the international nature of firms, reconciles the apparent paradox identified by the critics.
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0516
Convergence of Productivity: A Comment
Zijun Wang
Private Enterprise Research Center
Texas A&M University
We find that an important programming error was made by Hobijn and Franses (2000) in conducting multivariate stationarity tests. The empirical results in their paper are subject to errors. Other studies that have used the coded algorithm of Hobijn and Franses are likely to suffer the same problem.
Short Version Published in Journal of Applied Econometrics, 2006
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0517
Macroeconomic Forecasting Using Structural Factor Analysis
Dandan Liu
Department of Economics
Bowling Green State University

Dennis Jansen
Private Enterprise Research Center
Department of Economics
Texas A&M University
The use of several underlying factors to summarize the information from a relatively large set of explanatory variables is the new frontier of the forecasting literature. However, factors estimated in the previous literature usually cannot be interpreted structurally, and the estimated factors or forecasting models are not chosen on the basis of some standard theories. In this paper, we propose several variations of a general structural factor forecasting model, and use these to forecast some key macroeconomic variables. We argue that the choice of factors can be made more structurally meaningful by choosing these factors from subsets of variables according to widely-accepted theories, and depending on the variable to be forecasted. To analyze the advantages of the structural factor forecasting model, we compare its forecasting performance with baseline models including the univariate AR model and the standard VAR model, as well as some non-structural factor forecasting models. The results indicate that our structural factor forecasting model performs significantly better in many cases, and especially for real activity variables at short-horizons.
Published in International Journal of Forecasting, 2007
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0518
Money Growth and Inflation in the United States
Lance Bachmeier
Department of Economics
Kansas State University

Sittisak Leelahanon
Department of Economics
Thammasat University

Qi Li
Private Enterprise Research Center
Department of Economics
Texas A&M University
Specification tests reject a linear inflation forecasting model over the period 1959-2002. Based on this finding, we evaluate the out-of-sample inflation forecasts of a fully nonparametric model for 1994-2002. Our two main results are that: (i) nonlinear models produce much better forecasts than linear models, and (ii) including money growth in the nonparametric model yields marginal improvements, but including velocity reduces the mean squared forecast error by as much as 40%. A threshold model fits the data well over the full sample, offering an interpretation of our findings. We conclude that it is important to account for both nonlinearity and the behavior of monetary aggregates when forecasting inflation.
Published in Macroeconomic Dynamics, 2007
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0519
Testing for Cointegrating Rank via Model Selection: Evidence from 165 Data Sets
Badi H. Baltagi
Department of Economics
Texas A&M University

Zijun Wang
Private Enterprise Research Center
Texas A&M University
The model selection approach has been proposed as an alternative to the popular tests for cointegration such as the residual-based augmented Dickey-Fuller test and the system-based trace test. Using information criteria, we conduct cointegration tests on 165 data sets used in published studies. The empirical results demonstrate the usefulness of the model selection approach for applied researchers.
Published in Empirical Economics, 2006
Click 0519 to view the detailed results in xsl format.
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0520
Higher-Order Generalizations of Arrow-Pratt and Ross Risk Aversion: A Comparative Statics Approach
Paan Jindapon
Department of Economics
Texas A&M University

William S. Neilson
Private Enterprise Research Center
Department of Economics
Texas A&M University
We analyze comparative risk aversion in a new way, through a comparative statics problem in which, for a cost, agents can shift from an initial probability distribution toward a preferred distribution. The Ross characterization arises when the original distribution is riskier than the preferred distribution and the cost is monetary, and the Arrow-Pratt characterization arises when the original distribution differs from the preferred distribution by a simple mean-preserving spread and the cost is a utility cost. Higher-order increases in risk lead to higher-order generalizations, and the comparative statics method yields a unified approach to the problem of comparative risk attitudes.
Published in Journal of Economic Theory, 2007
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0521
A Theory of Kindness, Reluctance, and Shame in Dictator Games
William S. Neilson
Department of Economics
Texas A&M University
This paper presents a theoretical model of context-dependent behavior in dictator games in response to recent experimental evidence suggesting that (1) although proposers give money to receivers when they do not have the option of taking money away, they tend not to give money away when taking is an option; and (2) many proposers are reluctant to play the dictator game and, in order to avoid playing the game, are willing to accept a smaller payment than they would have received had they played the game. The model has two components: a choice correspondence that depends on the endowed allocation and the menu of allocations available, and a preference ordering over endowment/menu pairs. The choice correspondence governs behavior when the proposer actually plays a dictator game, and the preference ordering governs the proposer's willingness to play a particular dictator game. The choice correspondence can be used to characterize kindness and the propensity to give, while the preference ordering can be used to characterize reluctance and construct a reluctance premium. Finally, the two components together can be used to characterize shame, which arises when proposers wish to avoid the dictator game in order to avoid revealing how little they would be willing to give away.
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