Pathways After Default: What Happens to Distressed Mortgage Borrowers and Their Homes?

We use a detailed dataset of seriously delinquent mortgages to examine the dynamic process of mortgage default—from initial delinquency and default to final resolution of the loan and disposition of the property. We estimate a two-stage competing risk hazard model to assess the factors associated with post-default outcomes, including whether a borrower receives a legal notice of foreclosure. In particular, we focus on a borrower’s ability to avoid a foreclosure auction by getting a modification, by refinancing the loan, or by selling the property. We find that the outcomes of the foreclosure process are significantly related to: loan characteristics including the borrower’s credit history, current loan-to-value and the presence of a junior lien; the borrower’s post-default payment behavior, including the borrower’s participation in foreclosure counseling; neighborhood characteristics such as foreclosure rates, recent house price depreciation and median income; and the borrower’s race and ethnicity.     

Modelling property values in Nigeria using artificial neural network

Unreliable and inaccurate property valuation has been associated with techniques currently used in property valuation. A possible explanation for these findings may be due to the utilisation of traditional valuation methods. In the current study, an artificial neural network (ANN) is applied in property valuation using the Lagos metropolis property market as a representative case. Property sales transactions data (11 property attributes and property value) were collected from registered real estate firms operating in Lagos, Nigeria. The result shows that the ANN model possesses a good predictive ability, implying that it is suitable and reliable for property valuation. The relative importance analysis conducted on the property attributes revealed that the number of servants’ quarters is the most important attribute affecting property values. The findings suggest that the ANN model could be used as a tool by real estate stakeholders, especially valuers and researchers for property valuation.     

The Resource Dependence, Service and Control Functions of Boards of Directors in Hong Kong and Taiwanese Firms

Since the Asian financial crisis of the late 1990's, there have been numerous calls for the reform of East Asian corporate governance. Without reform, fears abound that the crisis will return. However, a baseline understanding of corporate governance in East Asia needs to be established before reform efforts can begin. In the West, three major functions of boards are commonly recognized: resource dependence, service, and control. These functions have yet to be examined in the context of boards of directors of Overseas Chinese firms in East Asia. In this exploratory study, we examine the extent to which these functions are performed, primarily by outside board members, in Overseas Chinese firms in Hong Kong and Taiwan. We find that the service and control functions are less pronounced for East Asian boards than what would be expected in the West, while the resource dependence function is more pronounced. We also findthat the governance of the region is being moved closer to international practices by a new generation of leaders that have been exposed to Western influences and intense global competition. The implications of our findings for managers, educators, and researchers are discussed.     

Awe culture and corporate social responsibility: Evidence from China

By proxying ‘awe culture’ (i.e., reverence for life and ethical behaviour) with regional induced abortion rates, we examine the impact of awe culture on corporate social responsibility (CSR) in a sample of Chinese firms. We find that firms located in areas with higher induced abortion rates spend less funds on CSR activities and obtain lower CSR scores. The findings remain intact after an array of robustness tests. Further analysis shows that the effect of awe culture on CSR is more pronounced in areas with weaker law enforcement and where the local government emphasises economic growth targets. However, the effect becomes insignificant when firms are well-represented by top executives with overseas experience, foreign directors, and a high proportion of female board members. The significance of the effect also diminishes for non-state-owned firms, and firms with higher institutional ownership and higher cash holdings. Moreover, the lack of awe culture attenuates the positive impact of CSR on firm value. Overall, we document that awe culture, as an informal institution, shapes CSR behaviours.     

Analyst Herding and Stock Price Crash Risk: Evidence from China

We examine the proposition that firms with disproportionately more analysts herding in their coverage, as measured by a larger herding index value, have higher crash risk. Our findings are consistent with the main proposition. The results suggest that information production, rather than monitoring, is the primary mechanism behind the positive relation between herding and crash risk. Our conclusion is robust to different measures of crash risk, crash risk windows, herding measures, subsamples, and instrumental estimation. In addition, using post‐earnings announcement drift, we report that analyst herding slows down bad news transmission in the market. Our findings extend the literature by documenting that analyst herding plays a role in enhancing crash risk. Analyst herding has economic consequences on the covered firms. We offer support for the concern in the literature regarding analyst herding and market fluctuations.     

The 1997 Asian Currency Crisis,Financial Linkages,and the Monetary Policy of Japan

The evidence is examined that excessively liberal monetary policy by the Bank of Japan, before and after the financial collapse of Japan in 1992, may have led other East Asian economies into “over‐borrowing” and speculative investments, prior to the currency crisis in 1997–98. The authors test for cointegration and Granger causality between Japanese money supply M1 and the domestic investment of eight East Asian economies and Australia. US and German money supplies are also used as a benchmark. There is strong evidence that there are long‐ and short‐run causal relationships between the Japanese money supply and the domestic investment of the Asian crisis‐inflicted economies prior to 1997.     

Do economic statistics contain information to predict stock indexes futures prices and returns? Evidence from Asian equity futures markets

This research examines the impact of local and international market factors on the pricing of stock indexes futures in East Asian countries. The purpose of this paper is to present a study of the significant factors that determine the major stock indexes futures’ prices of Hong Kong, Malaysia, Singapore, South Korea and Taiwan. This study first investigates the relationships between Hang Seng Index Futures, KLCI Futures, SiMSCI Futures, KOSPI Futures, Taiwan Exchange Index Futures and local interest rates, dividend yields, local exchange rates, overnight S&P500 index and a newly constructed index, Asian Tigers Malaysia Index (ATMI). 11 years historical data of stock indexes futures and the economic statistics are studied; 10 years in-sample data are used for testing and developing the pricing models, and 1 year out-of-sample data is used for the purpose of verifying the predicted values of the stock indexes futures. Using simple linear regressions, local interest rates, dividend yields, exchange rates, overnight S&P500 and ATMI are found to have significant impact on these futures contracts. In this research, the next period close is predicted using simple linear regression and non-linear artificial neural network (ANN). An examination of the prediction results using nonlinear autoregressive ANN with exogenous inputs (NARX) shows significant abnormal returns above the passive threshold buy and hold market returns and also above the profits of simple linear regression (SLR). The empirical evidence of this research suggests that economic statistics contain information which can be extracted using a hybrid SLR and NARX trading model to predict futures prices with some degree of confidence for a year forward. This justifies further research and development of pricing models using fundamentally significant economic determinants to predict futures prices.

     

How and when environmental orientation drives corporate sustainable development in a cross-national buyer–supplier dyad

This study aims at relating the role of environmental orientation to corporate sustainable development within a cross-national buyer–supplier dyad. To this end, it specifically proposes and empirically tests a model delineating how the international buyer's environmental orientation would influence its green supplier development (GSD) activities, then its outsourcing supplier's green product strategies (GPS), and finally total relationship value (TRV) of the entire buyer–supplier dyad. It also examines how supplier overall information technology advancement (SOITA) would further moderate the aforementioned influences. Survey results derived from 202 buyer–supplier dyads have provided empirical support for all the hypothesized relationships of the proposed model. To summarize, the findings show that international buyers' internal and external environmental orientations both serve as a major driver for their GSD, which, in turn, significantly advances outsourcing suppliers' practice of GPS and consequently enhances TRV. Moreover, this study has demonstrated that SOITA exerts a significant and positive moderating effect on the GSD–GPS link. Overall, this study provides important insights into understanding the complex and contingent processes underlying the influence of the international buyer's environmental orientation on the joint performance of the dyad.