Some Tests of APT Mispricing Using Mimicking Portfolios

Cross-sectional and time-series tests using mimicking portfolios are used to assess the exactness of the APT with(out) a residual market factor. The first factor seems to be sufficient to span the efficient set, whether the model is estimated using (un)conditional variance-covariance matrices that are (un)adjusted for nonsynchronous trading. Although the conditional standard deviations of the mimicking portfolios significantly explain the time-variability of security volatilities, the residuals of the mean equation still exhibit heteroskedasticity. Similar results are obtained for portfolios of CAPM-betaranked securities, and for randomly selected individual securities.     

Cultural distance and cross-border bank linkages

This study investigates the effect of cultural distance on global bank linkages using country-pair data for the period 1990–2013. We followed Schwartz (2006) to measure cultural distance, and employed the number of bank pairs involved in cross-border syndicated lending from the source to target countries as a measure of bank linkages. We found that cultural distance has a negative association with bank linkages. This effect is stronger in countries featuring higher informational asymmetries, as represented by weaker institutions, higher uncertainty, or revolution shocks. Our results hold even when employing alternative measures of bank linkages and cultural distance, and when considering the potential endogeneity of cultural distance.     

Modified efficient importance sampling for partially non‐Gaussian state space models

The construction of an importance density for partially non‐Gaussian state space models is crucial when simulation methods are used for likelihood evaluation, signal extraction, and forecasting. The method of efficient importance sampling is successful in this respect, but we show that it can be implemented in a computationally more efficient manner using standard Kalman filter and smoothing methods. Efficient importance sampling is generally applicable for a wide range of models, but it is typically a custom‐built procedure. For the class of partially non‐Gaussian state space models, we present a general method for efficient importance sampling. Our novel method makes the efficient importance sampling methodology more accessible because it does not require the computation of a (possibly) complicated density kernel that needs to be tracked for each time period. The new method is illustrated for a stochastic volatility model with a Student's t distribution.     

Research collaboration model in academic social networks

ABSTRACT

This paper proposes a hybrid collaboration recommendation method that accounts for research similarities and the previous research cooperation network. Research cooperation is measured by combining the collaboration time and the number of co-authors who already collaborated with at least one scientist. Research similarity is based on authors’ previous publications and academic events they attended. A weighted directed graph is built to discover new collaborators by using direct and indirect connections between scientists. Moreover, a consensus-based system is built to integrate bibliography data from different sources. The experimental results show that our method improves the recommendation performances over other methods.     

NOMINAL SOVEREIGN DEBT

I show that reputation alone can sustain nominal sovereign debt, which is subject to both the risks of default and opportunistic devaluations. Nominal debt combined with a countercyclical exchange rate policy allows more hedging against shocks than real savings if markets are incomplete. Thus, the loss of either repayment or monetary reputation severely affects the government's ability to smooth consumption. The model offers a simple explanation for the Bulow and Rogoff critique, while simultaneously helping explain the issuance of nominal sovereign bonds by emerging economies. The model also helps explain why many governments borrow and save at the same time.     

Risk Aversion, Intergenerational Equity and Climate Change

The paper investigates a climate-economy model with an iso-elastic welfare function in which one parameter measures relative risk-aversion and a distinct parameter measures resistance to intertemporal substitution.We show both theoretically and numerically that climate policy responds differently to variations in the two parameters. In particular, we show that higher but lower leads to increase emissions control. We also argue that climate-economy models based on intertemporal expected utility maximization, i.e. models where = , may misinterpret the sensitivity of the climate policy to risk-aversion.     

The effects of ownership concentration and corporate debt on corporate divestitures in Chinese listed firms

This study examines how ownership concentration and corporate debt impact corporate divestitures in China. Corporate divestitures reduce the asset base of a company and the opportunity for expropriation by majority shareholders. In emerging economies, weak legal institutions, combined with equity ownership concentration and high corporate debt, allow majority shareholders to avoid such disciplines. Consequently, the relationship between these governance mechanisms and divestiture activity exhibits a pattern that is different from that in developed economies. Using archival data collected from 1,210 Chinese listed companies during 1999–2003, we found that ownership concentration by the largest shareholder depressed corporate divestitures both in state-controlled and in non-state-controlled firms. The negative effect of corporate debt on divestitures only existed for state-controlled firms. Our finding provides corroborating evidence for principal–principal conflicts in emerging economies. It suggests that corporate strategy in these countries can be better explained by taking into account the unique agency problems that are prevalent in these economies.     

Developmental Rent Management Analysis: Learning,Upgrading, and Innovation

In this article, I construct an original analytical framework, called the developmental rent management analysis (DRMA), for the analysis of rents and rent management. This framework is based on the premise that successful rent management depends on political and institutional arrangements to produce incentives and pressures for technical upgrading and innovation. This is because, while rents are created for a variety of purposes, rent outcomes — whether growth-enhancing or growth-reducing — depend on a set of political, institutional, and market conditions that take place formally and informally. Therefore, the key objective of the DRMA framework is to understand how a country’s politics, institutions, and industries are configured to incentivize and compel industrial upgrading. Thus, DRMA enables a broader and more complex understanding of the various factors at play in the process of development. I provide an illustrative application of the DRMA framework using the Vietnamese experience of adopting third-generation technology in the telecommunications industry.