Dynamic forecasting of sticky-price monetary exchange rate model

The Dornbusch-Frankel monetary model is used to estimate the out-of-sample forecasting performance for the U.S. or Canadian dollar exchange rate. By using Johansen's multivariate cointegration, up to three cointegrating vectors were found between the exchange rate and macroeconomic fundamentals. This means that there is a long-run relationship between exchange rate and economic fundamentals. Based on error-correction models, the random-walk model outperforms the Dornbusch-Frankel model at every forecasting horizon. The random-walk model also dominates the Dornbusch-Frankel model with the modified money demand function at every forecasting horizon except one month. However, this paper shows that the share price variable can improve the accuracy of forecasts of exchange rates at short-run horizons.     

ALTERNATIVE OPTIMAL TRADE POLICIES IN THE PRESENCE OF FOREIGN INPUT MONOPOLY

Abstract.  This paper develops a generalized three-country model with downstream and upstream industries to analyze optimal import and export trade policies in the presence of monopoly distortion in a foreign intermediate input market. It shows that the import tariff and export tax are linearly dependent. Thus, the optimal choice of the tariff gives rise to the same results as the optimal choice of the export tax, which implies that the domestic government, to avoid tariff retaliation, can use export tax as a substitute for the import tariff.     

Information Flow and Pricing Errors: A Unified Approach to Estimation and Testing

This study examines whether rates of information flow differbetween trading and nontrading periods, and whether the variancesof pricing errors differ at the open and close of trading. Theapproach improves on existing methods by allowing for correlationbetween pricing errors and information flow, and by conductinginferences at the individual security level. The daytime rateof information flow is about seven times the overnight rate,and the variances of pricing errors at the open are not differentfrom those at the close of trading. This evidence differs fromexisting results based on return variance ratios.     

Country-specific sentiment and security prices

I study the effect of country-specific sentiment on security prices. I provide evidence that a country’s popularity among Americans affects US investors’ demand for securities from that country and causes security prices to deviate from their fundamental values. Moreover, I find that country popularity is positively associated with the intensity of US cross-border mergers and acquisitions activity, suggesting that country popularity also affects firms’ investment decisions.     

Managerial entrenchment of anti-takeover devices: Quasi-experimental evidence from Korea

With the removal of statute-based anti-takeover provisions during the aftermath of Asian crisis, a significant number of Korean firms started to introduce charter-based measures. In this paper, we make use of this unique situation where firm-level anti-takeover provisions (ATP) vary over time (making firm fixed effects regression feasible) and its amendment requires a shareholder approval (making event study feasible), when investigating the link between ATP and firm performance. Using a sample during 1999–2009, we find that firms with charter-based anti-takeover provisions are smaller in size, have lower inside and foreign ownerships, and upon adoption, experience lower share prices, the extent of which drops with inside ownership. Consistent with the overinvestment hypothesis in Jensen (1986), we also find that these firms increase capital expenditure. Our finding also shows that ATP adoptions are followed by lower profitability and lower dividend payouts. Firms with ATPs also experience greater de-listings after the global financial crisis.     

A Measure of Fundamental Volatility in the Commercial Property Market

The low level of volatility observed in appraisal-based commercial property indices relative to other asset classes has been frequently noted and extensively commented on in the real estate finance literature. However, the volatility of such commercial property indices is only one source of information on the second moment of commercial property returns. The volatility of securitized property returns forms another potential source of information, though there is some uncertainty about how closely the volatility of securitized returns may match the volatility of the underlying asset. Each measure of volatility has a potential source of noise associated with it. This paper proposes a fundamental measure of volatility for the commercial property market by using a stochastic volatility model to filter out the signal in the different sources of volatility information. This allows for different measures of volatility to be decomposed into transitory noise and unobserved fundamental volatility. The suitability of such an approach and the properties of the underlying fundamental volatility series are analyzed using data from the U.K. property market.     

Predictability of Term Spread for Economic Activity with Liquidity Premium Theory

In this article, we explore the predictive content of the term spread based on the liquidity premium theory. We decompose the contribution of the spread into the effect of expected future changes in short rates and the effect of the term premium. We also examine whether the predictive power of the term spread for real economic activity can be enhanced by such a decomposition. The basic finding is that both the expectations effect and the term premium effect are relevant for predicting economic fluctuations. In particular, we find that the decomposition might lead to a better prediction for the business-cycle turning points than the usual term spread.     

How Persistent is Stock Return Volatility? An Answer with Markov Regime Switching Stochastic Volatility Models

Abstract:  We propose generalised stochastic volatility models with Markov regime changing state equations (SVMRS) to investigate the important properties of volatility in stock returns, specifically high persistence and smoothness. The model suggests that volatility is far less persistent and smooth than the conventional GARCH or stochastic volatility. Persistent short regimes are more likely to occur when volatility is low, while far less persistence is likely to be observed in high volatility regimes. Comparison with different classes of volatility supports the SVMRS as an appropriate proxy volatility measure. Our results indicate that volatility could be far more difficult to estimate and forecast than is generally believed.