Household wealth accumulation and portfolio choices in Korea

This paper constructs a quantitative lifecycle model with uninsurable labor income and housing return risk to investigate how Korean households make saving and portfolio decisions. The model not only incorporates the special roles housing plays in the portfolio of households: collateral, a source of service flows, as well as a source of potential capital gains or losses, but also adds to existing models of wealth accumulation some unique institutional features present in Korea, namely the rental system (‘chonsae’) and the lack of a mortgage system. When the model is calibrated to match the Korean economy, several key features of the data are better able to be reproduced. The paper also analyzes the role of institutional features by comparing several alternative housing market arrangements to assess their impact on wealth accumulation, portfolio choices, and homeownership. A 10 percentage points reduction in down-payment requirement is associated with approximately 1 percentage point increase in the aggregate homeownership ratio in Korea. Lower down-payment also increases the fraction of aggregate wealth held in housing assets but lowers aggregate net worth with mixed demographic implications.     

Location-scale portfolio selection with factor-recentered skew normal asset returns

This paper analyzes the single period portfolio selection problem on the location-scale return family. The skew normal distribution, after recentering and reparameterization, is shown to be in this family. The recentered and reparameterized distribution, called factor-recentered skew normal, can be expressed as a skew factor model which is characterized by a location parameter and two scale parameters. Risk preference on scale parameter is non-monotonic and risk averse investors prefer larger (smaller) scale when the scale is negative (positive). The three-parameter efficient set is a part of conical surface bounded by two lines. Positive-skewness portfolios and negative-skewness portfolios do not coexist in the efficient set. Numerical cases under constant absolute risk aversion are analyzed with its closed-form certainty equivalent. An asset pricing formula which nests the CAPM is obtained.     

Common analyst links and predictable returns: Evidence from China

Based on shared analyst coverage, we are the first to document the common-analyst momentum (CAM) effect in China. Empirically, we show that average returns of common-analyst peer firms have strong predictive power for future focal firm returns. Moreover, the CAM effect is stronger than other cross-asset momentum (XAM) effects. Interestingly but differently, the CAM cannot unify other XAM effects as the U.S. market does. Exploiting the underlying mechanism, we find that common-analyst-connected firms are fundamentally similar. Further, the CAM effect is stronger when inter-firm linkages are stronger when the information processing task is more complex and on earnings announcement dates. We conclude that sluggish analyst forecasting and investors’ attention constraint could contribute to the stronger CAM effect, and our results support the hypothesis that slow information diffusion generates the CAM effect.     

Seasonality in firm-size portfolio returns: A nonparametric analysis

In this study the author uses stochastic dominance, a nonparametric method of portfolio performance analysis, to test for seasonality in firm-size portfolio return behavior. Stochastic dominance confirms the January effect, found in previous parametric studies, only for the smallest firm-size portfolio. It statistically eliminates the size effect for the larger firm-size portfolios in January and for all firm-size portfolios in the other months of the year. It is demonstrated that a market proxy problem and normality assumption violation may bias the parametric results. Nonparametric analysis, therefore, suggests that markets may be more efficient than parametric methods imply when model violations exist.     

Adjusting MV-efficient portfolio frontier bias for skewed and non-mesokurtic returns

This study investigates the bias adjustment for mean–variance efficient portfolio frontiers due to population mean and variance estimation error in Taiwan stock market. Although Siegel and Woodgate (2007; Management Science, 53, 1005–1015) and Kan and Smith (2008; Management Science, 54, 1364–1380) suggested two portfolio frontiers that improved upon the out-of-sample performance of a traditional sample portfolio frontier. However, this study shows that, using the copula function and Gram-Charlier series, the two frontiers are theoretically biased toward the actual frontier unless returns behave normally, and the bias is related to the return skewness and kurtosis. Indeed, the two frontiers are empirically biased to the lower-left side of the actual ones, because the Taiwan stock returns are right-skewed and highly leptokurtic. Thus, this study thus proposes revised portfolio frontiers that are closer to the actual frontier than unrevised ones. This improvement may enhance the estimation accuracy of the capital market line, and hence this study can provide an effective investment reference.     

Dynamic portfolio choice under ambiguity and regime switching mean returns

I examine a continuous-time intertemporal consumption and portfolio choice problem under ambiguity, where expected returns of a risky asset follow a hidden Markov chain. Investors with Chen and Epstein's (2002) recursive multiple priors utility possess a set of priors for unobservable investment opportunities. The optimal consumption and portfolio policies are explicitly characterized in terms of the Malliavin derivatives and stochastic integrals. When the model is calibrated to U.S. stock market data, I find that continuous Bayesian revisions under incomplete information generate ambiguity-driven hedging demands that mitigate intertemporal hedging demands. In addition, ambiguity aversion magnifies the importance of hedging demands in the optimal portfolio policies. Out-of-sample experiments demonstrate the economic importance of accounting for ambiguity.     

2003中国国资体制改革新变化

■国资流失的现象,表面上看,仅仅是国有资产流失问题,实际上它集中反映了目前国有资产管理体制、企业产权制度、分配制度等方面存在的诸多难题。■如何由人大来监督和控制政府对重大国有资产的管理和最终处置权,尤其是在对国有资产的最终处置上,人大、国资委以及国有资产投资机构各自的权限如何划分,这是新的国有资产管理体制必须思考的问题。     

Understanding how heterogeneous agents affect Principal's returns: Perspectives from short-termism and Bayesian learning

We consider a general framework of optimal contract design under the heterogeneity and short-termism of agents. Our research shows that the optimal contract must weigh the agent's information rent, incentive cost, and benefit to overcome the contract's adverse selection and moral hazards. Agents with higher moral levels were more likely to choose higher effort and lower manipulation. Simultaneously, the principal offers lower incentives and receives more significant payoff. We also extend our model to investigate the benefits of Bayesian learning. Furthermore, we compare the principal's returns in general and learning models and find that the learning contract can bring more profit to the principal.     

Project portfolio control and portfolio management performance in different contexts

This article investigates the nature and relationship of project portfolio control techniques and portfolio management performance, and how this relationship is moderated by situational idiosyncrasies of internal and external dynamics, industries, governance types, and geographic location. A worldwide questionnaire with 242 responses was used, of which 136 high‐performing responses were filtered out for quantitative analysis of best practices. Three portfolio control factors were identified: portfolio selection, portfolio reporting, and decision‐making style. Two measures for portfolio management performance were identified: achievement of desired portfolio results and achievement of project and program purpose. The results indicate that different portfolio control mechanisms are associated with different performance measures. A contingency model was developed, including moderating effects by contextual variables.     

Using ex-day returns to separate the tax and information effects of dividend changes

In this paper, the information content of dividends is tested by examining the abnormal return on the announcement date. To address the potentially confounding effects of the tax penalty, the abnormal exdividend day return is used to separate stocks for which dividends impose a tax penalty on marginal investors from stocks for which dividends provide a tax benefit to marginal investors. This separation uncovers results that support the information content hypothesis; dividend increases result in positive abnormal announcement day returns even for stocks whose marginal investors are averse to dividends.     

Market efficiency, discount-rate changes, and stock returns: A long-term perspective

This paper examines the market efficiency issue by analyzing stock returns surrounding Fed announcements of discount-rate changes. Based on an analysis ofex post returns over a 58-year period, the results provide evidence of long-term market efficiency. Consistent with recent literature, the findings also reveal some predictability in return patterns where an active trading strategy based on directional reversals in the pattern of discount rate changes outperforms a passive buy-and-hold approach. The results indicate that the proposed active trading produces substantially higher risk-adjusted returns than the buy-and-hold strategy.     

Equity premium prediction and optimal portfolio decision with Bagging

We propose using the statistical method of Bagging to forecast the equity premium out-of-sample for multivariate regression models. Bagging allows for the flexible and efficient extraction of valuable informational content from a large set of predictors, leading to statistically and economically significant gains relative to not only the historical mean, but also other soft-threshold methods such as forecast combinations and shrinkage estimators in our empirical results. Furthermore, we find that the source of economic gains for Bagging primarily comes from the fact that it encourages the investor to actively manage portfolio by flexibly utilizing short selling or leveraging to better time the market following correctly prognosticated trends. However, other strategies such as forecast combinations keep the equity shares nearly fixed regardless of the predicted market prospect.     

Sustained endogenous growth with decreasing returns and heterogeneous capital

The possibility of sustained long-run growth is typically associated with the presence of some endogenous `engine of growth'. It may allow the economy to grow without bound despite the use of some non-reproducible resources. Such situations can lead to dynamic models combining the features of sustainable growth and decreasing returns. One-sector models of this kind have recently attracted much attention in macroeconomics applications. Their approximate linearity for the purposes of long-run analysis has been noted. This paper is aimed at establishing the general fact: dynamic models (one- or multi-sector) which are characterized by sustained endogenous growth with non-increasing returns display the patterns of optimal growth asymptotically equivalent to those generated by models with linear technology. I consider a neoclassical growth model with heterogeneous capital, develop its linear counterpart, and prove their asymptotic equivalence in terms of long-run optimal growth rates and cross-sectoral profiles of consumption, real interest rates and relative prices. This result also implies the `non-substitution' theorem for the neoclassical dynamic model of sustained growth: optimal input profiles, relative prices, and interest rates are asymptotically independent of intertemporal preferences.     

Forecasting stock returns with model uncertainty and parameter instability

We compare several representative sophisticated model averaging and variable selection techniques of forecasting stock returns. When estimated traditionally, our results confirm that the simple combination of individual predictors is superior. However, sophisticated models improve dramatically once we combine them with the historical average and take parameter instability into account. An equal weighted combination of the historical average with the standard multivariate predictive regression estimated using the average windows method, for example, achieves a statistically significant monthly out-of-sample of 1.10% and annual utility gains of 2.34%. We obtain similar gains for predicting future macroeconomic conditions.     

Cardinality-constrained portfolio optimization with short selling and risk-neutral interest rate

Decisions in Economics and Finance - Short selling strategy leads to a portfolio with significantly better risk-return structure compared to the standard approach. Moreover, investors can use...     

On rankings and top choices in random utility models with dependent utilities

Different aggregate preference orders based on rankings and top choices have been defined in the literature to describe preferences among items in a fixed set of alternatives. A useful tool in this framework is constituted by random utility models, where the utility of each alternative, or object, is represented by a random variable, indexed by the object, which, for example, can capture the variability of preferences over a population. Applications are derived in diverse research fields, including computer science, management science and reliability. Recently, some stochastic ordering conditions have been provided for comparing alternatives by means of some aggregate preference orders in the case of independent random utility variables by Joe (Math Soc Sci 43:391–404, 2002). In this paper we provide new conditions, based on some joint stochastic orderings, for aggregate preference orders among the alternatives in the case of dependent random utilities. We also provide some examples of application in different research fields.      

Slack in incomplete markets with nominal assets: A symmetric proof

In this paper, we provide an equilibrium analysis in the framework of incomplete markets where some agents’ preferences are possibly satiated at some state of the nature. We will consider nominal assets with exogenously fixed asset prices. We extend the notion of equilibrium with slack – introduced by Drèze and Müller [Drèze, J., Müller, H., 1980. Optimality properties of rationing schemes. Journal of Economic Theory 23, 150–159] in a fixed price setting – to the GEI framework.