Corporate Governance Structure and Performance of Malaysian Listed Companies

Abstract:  This study investigates the relationship between the corporate governance structure and performance of 347 companies listed on the Kuala Lumpur Stock Exchange (KLSE) between 1996 and 2000. We found board size and top five substantial shareholdings to be significantly associated with both market and accounting performance measures. In addition, we found a significant relationship between multiple directorships and market performance while role duality and managerial shareholdings are significantly associated with accounting performance. The result is robust with respect to controls for gearing, company size, industry membership and growth opportunities.     

Why countries are fiscally decentralizing

This paper models and empirically investigates underlying forces that promote governmental decentralization, or effective federalism, in the world over the last 25 years. A move to a federal system is based on the demand by hinterland regions for local autonomy, which increases with national income growth, greater relative hinterland population, and increasing national population. It is influenced as well by the degree of democratization nationally and locally. Decentralization is measured by both institutional indices indicating greater devolution of power to local governments and the share of local governments in national government consumption. Empirically, the paper finds that decentralization changes in ways predicted, in particular it increases with economic growth, country size, and population. Institutional structures based on colonial experience and initial constitutional provisions also matter.     

Do managerial behaviors trigger firm exit? The case of hyperactive bidders

This paper investigates the effects of managerial mergers- and acquisitions-related investment strategies on the exit risk of firms. Using a sample of hyperactive bidders, I show that managerial excessive acquisitiveness can precipitate firm exit. Overbidding is associated with weak corporate governance and lower disclosure quality within firms. I find that hyperactive bidders take more risk compared to conservative bidders. Such bidders also misallocate firms’ resources and dent firms’ reputational capital. Eventually, the external corporate control market is more effective compared to mechanisms such as bankruptcy reorganization, forced liquidation, leveraged buy-out, and expulsion from stock exchanges in disciplining hyperactive bidders by turning them into targets of takeover. These results suggest that a hyper acquisition-induced growth strategy is, on average, detrimental to the long-term survivability of firms and that the internal and external corporate-control mechanisms may not be effective enough to forestall falling value of an excessively acquisitive firm.     

Role of Algorithmic and Co-Location Trading on the Speed of Information Adjustments: Evidence from India

We investigate whether increased Algorithmic Trading (AT) intensity caused by the introduction of Co-location trading (CLT) facilities improve the productive efficiency of the Indian stock indices. We measure the change in the speed of information adjustment and change of persistence before and after the introduction of CLT for Indian Indices. We report an improvement in the overall productive efficiency of the leading Indian Indices, Midcap and Smallcap indices being the prominent beneficiaries. Our work contributes to the empirical literature on the ongoing debate on the benefits of AT and its role in improving market efficiency, especially in the emerging markets context.     

The Role of Airline Travelers’ Pre-Recovery Emotions during the Service Recovery Process

This study examines (1) the relationships between airline travelers’ casual attribution (stability and controllability), pre-recovery emotions, post-recovery emotions, and overall satisfaction; and (2) analyzes the mediating effect of pre-recovery emotions on the relationship between causal attribution and post-recovery emotions. Theoretical hypotheses were derived based on a literature review, and to empirically test the hypotheses, data were collected from 210 airline travelers in Malaysia. These respondents were airline travelers who experienced some service failure and relevant service recovery within the past year. According to the results, the two dimensions of casual attribution both influenced pre-recovery emotions. Pre-recovery emotions were significantly related to positive and negative post-recovery emotions, and post-recovery emotions were significantly related to overall satisfaction. In addition, pre-recovery emotions moderated the relationship between casual attribution and post-recovery emotions. These results have important practical implications.     

Auditors' and governmental financial officers' views on expanding the Sarbanes–Oxley Act provisions to state and local governments

This paper examines whether certain provisions of the Sarbanes–Oxley Act (SOX, 2002) should be expanded to include state and local governmental entities. Surveying governmental financial officials (GFOs) and their external auditors to gauge support for SOX-like legislation for governmental entities, we find the strongest support for auditor independence rules similar to SOX, management assessment of, and reporting on, internal controls, and severe penalties for destruction of records, fraud, and failure to report fraud.     

A Flexible Neuro‐Fuzzy Approach for Improvement of Seasonal Housing Price Estimation in Uncertain and Non‐Linear Environments

Changes in housing price affect both individuals and government since they have substantial influence on the socio‐economic conditions. Valuations of housing are necessary in order to assess the benefits and liabilities in housing sector. This study presents a flexible meta‐modelling approach for improvement of housing price estimation in ambiguous and complex environments. It is composed of artificial neural network (ANN) and fuzzy linear regression (FLR). Seven FLR models are considered to cover latest approaches and viewpoints. Also, ANN is applied to data sets. The preferred FLR model is selected via mean absolute percentage of error (MAPE) for further considerations, and then the preferred FLR model and the best structure of ANN are applied to the data set. Finally, the preferred model is selected based on MAPE. The intelligent approach of this study is applied for estimation and forecasting housing price in Iran. The housing price in Iran mainly is based on eight economic indices including currency, oil income, general index, house service pricing index, rate of informal market, gross domestic production in basic price, added value of oil group and construction materials price. FLR is identified as the preferred model with lowest MAPE for housing price forecasting in Iran. This shows that the housing market of Iran is associated with severe environmental fuzziness and ambiguity. This is the first study that introduces a flexible neuro‐fuzzy approach for improved estimation and forecasting of housing price in noisy, complex and uncertain environments.     

An elementary proposition on technical progress and non-traded goods

We explore the effect of technical progress on the endogenously determined range of non-traded goods by using a Ricardian model with continuum of goods. By defining technical progress on the basis of proportional changes in the relative productivity across sectors, we show that the range of non-traded goods decreases if technical progress is unbiased or if it is biased toward the goods that a country has more comparative advantage.     

Point pattern analysis of regional city distributions

Point processes are used in any field of investigation where the data set is in form of a collection of points in some space. Here we analyze the distribution of cities in two subregions of Iran by fitting proper point process models to three data sets where the third set of data is the cities in one of the subregions at a subsequent time.