Does the liquidity effect guarantee a positive term premium?

This paper examines the liquidity effect and the term structure in two versions of the limited participation model—an imperfect information model and an adjustment cost model. With a discrete-state solution approach, I find a striking contrast: while the imperfect information model successfully generates the liquidity effect and the positive term premium seen in the data; the adjustment cost model replicates only the liquidity effect. This is because the adjustment cost that drives the liquidity effect in the adjustment cost model also creates an adjustment cost effect, which leads to a negative term premium.     

On the Existence of Stable Roommate Matchings

This paper identifies a condition called “no odd rings” that is sufficient for the existence of stable roommate matchings in the weak preferences case. It shows that the process of allowing randomly chosen blocking pairs to match converges to a stable roommate matching with probability one as long as there are no odd rings. This random-paths-to-stability result generalizes that of Roth and Vande Vate (1990, Econometrica58, 1475–1480) and may not hold if there are odd rings. The “no odd rings” condition can also be used to prove a number of other sufficient conditions that are more economically interpretable. Journal of Economic Literature Classification Numbers: C78, D71.     

Culture and consumption expenditure patterns: comparison between Korean and United States households

Abstract The purpose of this study was to identify household consumption expenditure patterns in the US and to determine if these patterns are different from those of Korean households. Data were cluster analysed, and the results revealed four different consumption expenditure patterns for US and Korean households. Logit analysis showed that consumption expenditure patterns of households in both countries are likely to vary depending on socioeconomic factors. Similarities and differences in consumption expenditure patterns between cultures are discussed, and implications are provided.     

Bivariate mixed normal GARCH models and out-of-sample hedge performances

This study compares bivariate mixed normal GARCH models with standard bivariate GARCH models in terms of the percentage variance reduction of the out-of-sample hedged portfolio and also statistical significance tests of performance improvements using Superior Predictive Ability statistics. All competing models are applied to corn and wheat futures and empirical results demonstrate that the standard BEKK-GARCH model significantly outperforms the other competing GARCH models at shorter horizons. However, as the hedge horizon is extended to longer than 10 days, it is evident that the mixed normal BEKK-GARCH model is the best at the usual significance level of 5%.     

Mid-entry technology strategy: the Korean experience with CDMA

Mid-entry strategy is an R&D strategy designed for an efficient utilisation of scientific and technological resources across the nations. It chooses the entry point of R&D projects in the mid-stage of technical development. The technological situation of developing countries compels them to choose the mid-entry strategies tailored to specific technologies. The development of the CDMA (Code Division Multiple Access) based digital cellular mobile communication system by ETRI, Korea's government-sponsored research institute, is an example showing the application of this strategy. ETRI utilised scientific resources owned by US based Qualcomm Ltd and co-operated with local companies for the development. In the first half of 1996 the successful commercialisation of the CDMA digital cellular telephone service was launched in Korea, ahead of all other countries. Two Korean mobile communications providers have adopted the system.     

Foreign debt supply in an imperfect international capital market: Theory and evidence

We investigate the determinants of foreign borrowing costs in a stochastically growing economy. We find that these increase with the debt-wealth ratio, depending also upon the volatilities of domestic and foreign origin, and the length of debt contract. In addition, the sensitivity of the short-term debt supply to the debt-wealth ratio exceeds that of long-term debt, and the effects of volatility on the borrowing premium, growth of wealth, and its volatility, depend on the relative size of a direct effect and a secondary portfolio-adjustment effect of the initial shock, as well as the length of the debt contract. Panel regressions suggest that the empirical evidence generally support the theoretical predictions.     

Predicting issuer credit ratings using a semiparametric method

This paper proposes a prediction method based on an ordered semiparametric probit model for credit risk forecast. The proposed prediction model is constructed by replacing the linear regression function in the usual ordered probit model with a semiparametric function, thus it allows for more flexible choice of regression function. The unknown parameters in the proposed prediction model are estimated by maximizing a local (weighted) log-likelihood function, and the resulting estimators are analyzed through their asymptotic biases and variances. A real data example for predicting issuer credit ratings is used to illustrate the proposed prediction method. The empirical result confirms that the new model compares favorably with the usual ordered probit model.     

The Informational Role of Stock and Option Volume

This article analyzes the intraday interdependence of orderflows and price movements for actively traded NYSE stocks andtheir Chicago Board Options Exchange (CBOE)-traded options.Stock net trade volume (buyer-initiated volume minus seller-initiatedvolume) has strong predictive ability for stock and option quoterevisions, but option net trade volume has no incremental predictiveability. This suggests that informed investors initiate tradesin the stock market but not in the option market. On the otherhand, both stock and option quote revisions have predictiveability for each other. Thus, while information in the stockmarket is contained in both quote revisions and trades, informationin the option market is contained only in quote revisions.