The Metabolic Syndrome and All-Cause Mortality in an Insured Lives Population

Abstract

Metabolic syndrome and its association with mortality have not been studied in insured lives populations. The Swiss Re Study evaluated metabolic syndrome prevalence and associated mortality from all causes and circulatory disease in a cohort of 35,470 predominantly healthy individuals, aged 18–83 years, who were issued life insurance policies between 1986 and 1997. Metabolic syndrome was defined using the National Cholesterol Education Program (NCEP) Expert Panel Adult Treatment Panel (ATP) III guidelines. The NCEP obesity criteria were modified with a prediction equation using body mass index, gender, and age substituted for waist circumference. Adjustments also were made for nonfasting triglyceride and blood glucose values. Risk ratios for policyholders identified with metabolic syndrome were 1.16 (P = .156) for mortality from all causes and 1.45 (P = .080) for mortality from circulatory disease compared with individuals without the syndrome. Risk was proportional to the number of components, or score, of the metabolic syndrome present. Risk ratios for metabolic syndrome score were 1.14 (P < .001) for mortality from all causes and 1.38 (P < .001) for mortality from circulatory disease compared with individuals without metabolic syndrome factors. In both all-cause and circulatory death models, relative risk was highest for the blood pressure risk factor. Based on a modified NCEP definition, increased mortality risk is associated with metabolic syndrome in an insured lives cohort and has life insurance mortality pricing implications.     

Board Committee Meetings and Firm Financial Performance: An Investigation of Australian Companies

This article examines how the frequency of board committee meetings impacts on Australian firms' financial performance. Data were collected from 118 Australian listed companies – including 26 financial firms and 92 nonfinancial firms – for the period 1999–2007. Analysis of that data shows that the frequencies of audit committee meetings and remuneration committee meetings are positively and significantly associated with return on equity and return on assets. The frequencies of risk committee meetings do not show any significant effects on the financial performance of Australian firms. Estimated results are found to be robust after controlling for internal as well as external governance mechanisms that might affect Australian firm performance.     

Globalization,Financial Liberalization and the Behavior of the Long Run Money Demand in the Bangladesh Economy

ABSTRACT

The paper estimates the long run demand for money function in the Bangladesh economy using cointegration and the Vector Error Correction Modeling (VECM) technique. The cointegration results suggest that although the process of globalization has shown no significant impact on money demand by the fact that the foreign interest rate is seen as statistically not significant, the financial liberalization has an important impact, reflected in the statistically significant role of domestic interest rate, in influencing both M1 and M2 money demand. An estimate of VECMs also reveals the fact that the short run speed of adjustment is moderately influenced by the financial reform measures to establish the long run relation between money balances, income and domestic interest rates. The phenomenon of credit constraint in the context of a developing country has shown no significant role in influencing money demand, which may imply that the stage of financial development is getting higher level in the Bangladesh economy. The existence of exchange rate depreciation in the cointegration relation with the expected sign suggests that currency substitution is now effective in the monetary sector and, therefore, its impact should be considered in the Bangladesh monetary policy matrix.     

Sustainability Risk Disclosure Practices of Listed Companies in Australia

This paper investigates the extent to which the top 100 ASX listed companies disclosed economic, environmental and social sustainability risk factors during the 2014/15 financial year in light of the changes introducing Recommendation 7.4 to the third edition of the Corporate Governance Principles and Recommendations in 2014. While all companies complied with the Recommendation, questions of substance over form were raised because some companies had risks that were not disclosed according to Recommendation 7.4. Our conclusion outlines how this research contributes to the growing literature on sustainability and corporate governance. We add to the continuing debate on mandatory versus voluntary disclosures, advocating that Australia may need to introduce mandatory guidelines, beyond the ASX, to regulate the disclosure of material economic, environmental and social risks. Additionally, we conclude that Recommendation 7.4 is unlikely to substantially change Australian corporate reporting and disclosure practices – that, for most companies, it is ‘business as usual’. However, under business as usual, we can naturally expect to see further increases in sustainability and alternative reporting frameworks, such as integrated reporting, as well as increasing use of the Internet to report and disclose sustainability risks.     

Multicollinearity in regression: an efficiency comparison between L<Subscript>p</Subscript>-norm and least squares estimators

Multicollinearity is one of the most important issues in regression analysis, as it produces unstable coefficients’ estimates and makes the standard errors severely inflated. The regression theory is based on specific assumptions concerning the set of error random variables. In particular, when errors are uncorrelated and have a constant variance, the ordinary least squares estimator produces the best estimates among all linear estimators. If, as often happens in reality, these assumptions are not met, other methods might give more efficient estimates and their use is therefore recommendable. In this paper, after reviewing and briefly describing the salient features of the methods, proposed in the literature, to determine and address the multicollinearity problem, we introduce the L_pmin method, based on L_p-norm estimation, an adaptive robust procedure that is used when the residual distribution has deviated from normality. The major advantage of this approach is that it produces more efficient estimates of the model parameters, for different degrees of multicollinearity, than those generated by the ordinary least squares method. A simulation study and a real-data application are also presented, in order to show the better results provided by the L_pmin method in the presence of multicollinearity.     

Quote disclosure and price discovery in multiple-dealer financial markets

We examine the effects of price disclosure on market performancein a continuous experimental multiple-dealer market in whichseven professional market makers trade a single security. Thedealers trade with one another and with computerized informedand liquidity traders. Our key comparison is between fully publicprice queues (pretrade transparent market) and bilateral quoting(pretrade opaque). We find that opening spreads are wider andtrading volume is lower in the opaque markets due to highersearch costs there. More importantly, however, higher searchcosts also induce more aggressive pricing strategies, so thatprice discovery is much faster in the opaque markets.