Closed-Form Mortgage Valuation Using Reduced-Form Model

Valuing mortgage-related securities is more complicated than valuing regular defaultable claims due to the borrower's prepayment behavior as well as the possibility of default. Some researchers use a structural-form model to obtain the closed-form formulas for the mortgage value. With this method, however, it is difficult to identify the critical region of early exercise. As an alternative, the reduced-form model developed in this article is able to value the mortgage without setting boundary conditions, and it can thereby accurately handle the multidimensional space of correlated state variables. The purpose of this article is to derive a closed-form solution of the mortgage valuation equation under a general reduced-form model that embeds relevant economic variables. This new approach enables portfolio managers to undertake sophisticated portfolio optimization and hedging analyses. An implementation procedure for the model is also provided to demonstrate how the valuation framework can be utilized in practical applications.     

Does high supply chain integration enhance customer response speed?

The capability of customer response speed is commonly employed by firms that wish to strengthen their relationship with customers in order to maintain a high level of service in a hypercompetitive environment of rapidly changing technology. Improved customer response speed also helps manufacturers respond more rapidly to satisfy customer needs. However, does high level of supply chain integration with customers have positive impact on customer response speed? This study proposes a conceptual model to examine antecedents to better firm performance, with customer response speed as a mediator. The conceptual model was empirically tested using data collected from 809 manufacturing companies in the Greater China Region. The results show that the nature of the relationship between customer integration and customer response speed may vary substantially from one area to another. Also, customer response speed mediates between customer integration and firm performance in China and Taiwan.     

A simple and effective evolutionary algorithm for multiobjective flexible job shop scheduling

This paper addresses the multiobjective flexible job shop scheduling problem (MOFJSP) regarding minimizing the makespan, total workload, and maximum workload. The problem is solved in a Pareto manner, whose goal is to seek for the set of Pareto optimal solutions. We propose a multiobjective evolutionary algorithm, which utilizes effective genetic operators and maintains population diversity carefully. A main feature of the proposed algorithm is its simplicity—it needs only two parameters. Performance of our algorithm is compared with seven state-of-the-art algorithms on fifteen popular benchmark instances. Only our algorithm can find 70% or more non-dominated solutions for every instance.     

Regime-switching effects of debt on real GDP per capita the case of Latin American and Caribbean countries

In this paper, we try to investigate how the debt and real GDP per capita relationship varies with indebtedness levels and other country characteristics in a balanced panel of 21 developing Latin American and Caribbean countries over the period 1992–2006. The empirical results indicate that there exist two threshold values of 32.88% and 55.89%. The latter is lower than the Maastricht criterion and Stability and Growth Pact of a total external Debt per GDP ratio at 60% in the OECD countries. Both thresholds divide our panel into three regimes. In the middle (stimulus) regime, the Debt per GDP ratio has a positive impact on real GDP per capita, which is consistent with the stimulus view (Eisner, 1984). However, the impact becomes negative and consistent with the crowding-out view (Friedman, 1977, 1985) in the left and right (crowding-out) regimes. Based on our findings, we find no supportive evidence for Ricardian view (Barro, 1989). Therefore, our empirical results have important implications for fiscal policymakers in these Latin American and Caribbean countries.     

Empirical analysis of real and financial volatilities on stock excess returns: evidence from Taiwan industrial data

This paper tests the relation between stock excess returns and risk factors measured by volatility. The sources of the volatility are based on the volatility of macroeconomic factors and time-series volatility. To model the macroeconomic fundamentals, we divide the risk into real and financial volatilities pertinent to Taiwan's economic environment. By examining the data of indusry excess returns and market excess returns, we find evidence to reject the hypothesis that the stock excess returns are independent of the real and financial volatilities.     

Discovering medical quality of total hip arthroplasty by rough set classifier with imbalanced class

The incidence of THA (total hip arthroplasty) will rise with an aging population and improvements in surgery, a feasible alternative in health care can effectively increase medical quality. The reason of a hip joint replaced is to relieve severe arthritis pain that is limiting your activities. Hip joint replacement is usually done in people age 60 and older. Younger people who have a hip replaced may put extra stress on the artificial hip. This paper uses a serious data screening function by experts to reduce data dimension after data collection from the National Health Insurance database. The proposed model also adopts an imbalanced sampling method to solve class imbalance problem, and utilizes rough set theory to find out core attributes (selected 7 features). Based on the core attributes, the extracted rules can be comprehensive for the rules of medical quality. In verification, THA dataset is taken as case study; the performance of the proposed model is verified and compared with other data-mining methods under various criteria. Furthermore, the performance of the proposed model is identified as winning the listing methods, as well as using hybrid-sampling can increase the far true-positive rate (minority class). The results show that the proposed model is efficient; the performance is superior to the listing methods under the listing criteria. And the generated decision rules and core attributes could find more managerial implication. Moreover, the result can provide stakeholders with useful THA information to help make decision.     

Volatility contagion: A range-based volatility approach

This article proposes a new approach to evaluate volatility contagion in financial markets. A time-varying logarithmic conditional autoregressive range model with the lognormal distribution (TVLCARR) is proposed to capture the possible smooth transition in the range process. Additionally, a smooth transition copula function is employed to detect the volatility contagion between financial markets. The approach proposed is applied to the stock markets of the G7 countries to investigate the volatility contagion due to the subprime mortgage crisis. Empirical evidence shows that volatility is contagious from the US market to several markets examined.     

DURATION,IMMUNIZATION, AND HEDGING WITH INTEREST RATE FUTURES

The recent advent of the interest rate futures markets has greatly enriched the hedging opportunities of market participants faced with undesired interest rate risk. The variety of futures contracts presently spans a number of instruments with different risk, maturity, and coupon characteristics. This paper modifies the concept of duration and extends the duration hedging approach to cases where futures contracts are used as the hedging instrument. The derived hedge ratios take into account differences in coupon, maturity, and risk for three different regimes. Usage of these hedge ratios should lead to more efficient hedging of interest rate risk.     

EMPIRICAL ANALYSIS ON THE PREDICTORS OF FUTURE SPOT RATES

This paper examines the issue of the prediction of future spot rates by applying the seemingly unrelated regression technique to four major currencies using data from January 1974 to September 1982. The empirical evidence indicates that current spot rates provide a better prediction of future spot rates than do current forward rates. In further rolling subsample studies, the estimated coefficients for current forward rates (or spot rates) are found to be sensitive to the new information. An important implication of this paper is that since the estimated coefficients vary over time, the underlying pattern of the generated coefficients should be extrapolated and incorporated into the exchange rate predictions.