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This paper aims to propose a new method for credit risk allocation among economic agents.

The paper considers a pool of bank loans subject to a credit risk and develops a method for decomposing the credit risk into idiosyncratic and systematic components. The systematic component accounts for the aggregate statistical difference between credit defaults in a given period and the long‐run average of these defaults.

The paper shows how financial contracts might be redesigned to allow for banks to manage the idiosyncratic component for their own accounts, while allowing the systematic component to be handled separately. The systematic component can be retained, passed off to the capital markets, or shared with the borrower. In the latter case, the paper introduces a type of floating interest rate, in which the rate is set in arrears, based on a composite index for the systematic risk. This increases the efficiency of risk sharing between borrowers, lenders and the capital market.

The paper has several practical implications that are of value for financial engineers, loan market participants, financial regulators, and all economic agents concerned with credit risk. It could lead to a new class of structured notes being traded in the market.

The paper also illustrates the potential benefits of risk decomposition. Of course, as with any innovation, the implementation of the structured contracts would raise practical issues not addressed here. The paper also makes several simplifications: market risk is ignored; the level of default is constant and identical among borrowers. These simplifications could be lifted in future research on this theme.

The purpose of this paper is to present theoretical and empirical support that the fear component associated with rare events has an impact on risk premium and market returns.

Extension of jump-diffusion model to extract the fear component from representative agent risk aversion, Standard VAR and impulse response function analysis, Event study analysis.

The model implicates that investor fear of tail jumps in the financial market impacts equity risk premium. The empirical findings show both positive stock and monetary policy shocks decrease investor’s fear. It can be attributed to that a bullish stock market and an increase in interest rate reflects expanding economy, and it leads to a decrease in fear. Moreover, a surprise decline in the expected short-term rate has a mixed impact on tail risk aversion. A plausible explanation is that investors believe a surprise drop in an expected short-term rate reflects a fast deteriorating economic outlook during unconventional monetary policy period.

This paper provides theoretical framework to decompose risk aversion into two separate components: one component associated with daily volatility, and the fear component associated with rare events. The study uses risk premiums decomposed from Chicago Board Options Exchange volatility index as proxies for the two components of risk aversion, and then utilizes standard value at risk and event study analysis to show the fear component plays a role in risk premium and market return.

The purpose of this paper is to examine the shocks to firm's beta around the event of addition or deletion from the S&P 500 index.

The total derivative of beta and Campbell and Vuolteenaho decomposition of beta methodologies are used, on monthly and daily basis, to examine the behavior of beta around the event.

Results show a significant increase in correlations of the event firms' returns and the market proxy returns and cash‐flow betas, and decrease in discount‐rate betas for added firms and the opposite effects for deleted firms. Robustness tests indicate that the total derivative changes effects are typical for the event firms industry but that the cash‐flow correlation changes are specific to the firm. These findings suggest that addition or deletion from the S&P 500 index is not an information free event.

The Campbell and Vuolteenaho methodology has limitations – it is conditional on the selection of state variables. In future research it would be beneficial to use different state variables in the beta decomposition framework. Another relevant question for a future research is: what are the effects of the event on the Fama‐French factor model loadings?

The paper's findings contribute to the ongoing debate in the literature of the information hypothesis for addition or deletion from the S&P 500 index.

This paper aims to undertake a comprehensive comparative analysis of Sharīʿah-compliant equity investments (SCEIs) and their non-Sharīʿah counterparts, in India, conditioning for investment horizon and market volatility. Indirectly, it also investigates for time varying performance of SCEIs, and explicitly analyses the unsystematic risk and related adequacy of returns.

Testing for statistical significance of differences in risks and returns; analysing portfolio performance using conventional metrics, information ratio, and Jensen's Alpha; Estimating returns due to stock selection and market timing using Fama’s Net Selectivity and Treynor and Mazuy’s Models.

SCEIs in India do not significantly differ in their total risks and returns compared to their conventional counterparts. While their risk is lower in the monthly and quarterly investment horizons, their Jensen’s Alphas are positive only in the annual investment horizons. These findings hold, when market volatility is low. Market timing wipes out the superior returns that exist due to stock selection in SCEIs.

Being Sharīʿah-compliant is beneficial only in longer investment horizons. Asset selection, not co-movement with the market, is key to excess returns to compensate for risks due to inadequate diversification. However, only cautious market timing can conserve them.

Though investors are not better-off in choosing ethical investments, they are not worse-off either. Being Sharīʿah-compliant is rewarding during less volatile markets.

This paper extends international literature on SCEIs, with evidence on the impact of investment horizon and market volatility on their returns and risks. Further, this paper is also a comprehensive analysis of Indian SCEIs, broadening the empirical evidence on a significant, non-Islamic and emerging market.

The purpose of this paper is to empirically examine the benefits of international equity portfolios from the viewpoint of Polish investors.

Eight national stock markets are included in the sample and three different portfolio forming strategies – Equally‐Weighted Portfolio (EWP), Minimum Variance Portfolio (MVP) and Tangency Portfolio (TP) – are adopted to construct the international diversified portfolios. In order to reveal the impact of currency hedging, the performance of a non‐hedged versus a fully‐hedged strategy is estimated. Finally, for comparison purpose, performances of the international portfolios from US investors' perspective are also examined.

Using monthly data from 1999 to 2008, the results show that from an ex post basis, an equally‐weighted global portfolio offers risk reduction opportunities for Polish investors and performance improvement potentials for US investors. In addition, US investors seem to fare better leaving their foreign investment unhedged, while Polish investors benefit from currency hedging. However, ex ante analysis reveals that when short‐selling is allowed, TP outperforms other portfolios and the risk‐adjusted portfolio performance could be enhanced by currency hedging.

In summary, the ex post analysis suggests that global portfolio either reduces risk or improves return. Compared to the domestic portfolio, the international portfolio reduces the portfolio risk while maintaining certain level of portfolio return for Polish investors who experience unusual high volatility in domestic market. On the other hand, an international portfolio yields higher portfolio return with similar risk level, as compared to the domestic portfolio, for US investors who suffer losses in the domestic market. A full currency hedging strategy benefits Polish but not US investors. Hedging or not, the risk of the local stock market is the major contributor to the risk of the equally‐weighted portfolio for both Polish and US investors.

The purpose of this paper is to construct a two-stage risk management framework for international construction projects based on the meta-network analysis (MNA) approach. A plethora of international construction studies seems to assume risks as independent and therefore, risk intervention strategies are usually critiqued as ineffective.

In the risk assessment stage, a multi-tiered risk network structure was developed with the project objectives, risk events, risk factors and stakeholders, and critical risk factors were selected based on a series of calculations. In the risk intervention stage, targeted risk intervention strategies were proposed for stakeholders based on the results of the first stage. A highway construction project in Eastern Europe was selected as a case study.

The results showed that 17 risk factors in three categories – external, stakeholder-related and internal – are critical, and the project manager, construction management department, supplier and contract department are the most critical stakeholders that affect the entire project performance. Based on the critical risk factors and project stakeholders, targeted risk intervention strategies were proposed. The risk assessment results of MNA were found to be more reliable and consistent with the project conditions than the risk matrix method; the risk intervention strategies of MNA can effectively address project objectives.

This study modeled risk priorities based on risk associations and put forward a new method for risk management, supplementing the body of knowledge of international construction. The results of this study are of critical importance in management practices.

With the development of the modern portfolio theory and the advancement of information technology, the employment of quantitative approaches to practically measure asset risks and returns, and the construction of portfolios (even dynamic portfolios) has become possible and popular. Therefore, the purpose of this paper is to construct a multi‐factor model for Taiwan stock universe using fundamental technical descriptors and then to apply the equity market neutral investing using multiple‐factor models as a tool.

This study constructs a Taiwan equity multi‐factor model using cross‐sectional fundamental technical approach.

The model involves 28 explanatory factors (including 20 industry factors), and the results of the estimations are satisfactory. The model's explanatory power is 58.6 per cent on average. Furthermore, this multi‐factor model is feasible, modulized, dynamic (i.e. modified over time) and updating.

The multi‐factor model, constructed and utilized in this study, is a useful and feasible tool. It generates important inputs into the applications of building market neutral portfolio.

Taiwan OTC market is an electronic, order driven, call market. The purpose of this paper is to gain understanding of whether trade size or number of transaction provides more information on explaining price volatility and market liquidity in this market. The paper also aims to investigate how market condition can affect the relationship between information type and trading activities.

The paper uses data from the Taiwan OTC market to run the empirical tests. It divides firms into five size groups based on their market capitalization. Regression equations are run to test: whether number of transactions has a more significant impact on price volatility on the Taiwan OTC market; the impact of market information on number of transactions; the relative impact of firm specific and market information on number of transactions; and the impact of number of transaction of bid‐ask spread.

Findings show that the larger the number of transactions, the higher the price volatility. Smaller firms on the Taiwan OTC market are traded based on firm‐specific information. This relation is further affected by market trends. Especially for the larger firms, when the market is up and the amount of market information increases, number of transactions increases. When the market is down and the amount of market information increases, number of transactions decreases. Finally, it is found spread size is more likely to be influenced by number of transactions, instead of trade size. Overall, based on these empirical results, the information content of number of transactions seems to be higher than that of trade size in the Taiwan OTC market.

Investors now understand that number of transaction actually carry more information than trade size does.

The relation between market information and number of transaction, also that between market information and trade size is influenced by market condition. The paper fills a gap in the literature to show that market condition has an impact on the relation between information type and trader's behavior. A number of transactions are identified that provide more information than trade size does. It is also shown that market conditions can further affect the impact of information on trading activities.

In recent years, several methodologies for measuring portfolio credit risk have been introduced that demonstrate the benefits of using internal models to measure credit risk in the loan book. These models measure economic credit capital and are specifically designed to capture portfolio effects and account for obligor default correlations. An example of an integrated market and credit risk model that overcomes this limitation is given in Iscoe et al. [1999], which is equally applicable to commercial and retail credit portfolios. However, the measurement of portfolio credit risk in retail loan portfolios has received much less attention than the commercial credit markets. This article proposes a methodology for measuring the credit risk of a retail portfolio, based on the general portfolio credit risk framework of Iscoe et al. The authors discuss the practical estimation and implementation of the model. They demonstrate its applicability with a case study based on the credit card portfolio of a North American financial institution. They also analyze the sensitivity of the results to various assumptions.

We survey the literature on the Risk Augmented Mincer equation that seeks to estimate the compensation for uncertainty in the future wage to be earned after completing an education. There is wide empirical support for the predicted positive effect of wage variance and the negative effect of wage skew. We discuss robustness of the findings across specifications, potential bias from unobserved heterogeneity and selectivity and consider the core issue of students' information on benefits from education.

The purpose of this paper is to assess key issues in measurement and management of operational risk in Malaysian Islamic banks.

Descriptive, analytical, and comparative analyses are used to discuss the issues of operational risk in Islamic bank through the implications associated with the Islamic banks' operational risk as well as the implications on risk measurement, risk management, and capital adequacy.

Discussion on operational risk in Islamic banks is significant and becoming more complicated compared with conventional banking because of the unique contractual features and general legal environment. While basic Basel II core principles of effective banking supervision apply equally well and ideally suit the Islamic banking institutions, risk measurement, and risk management practices still need specific adaptations to Islamic banks' operational characteristics. These particularities highlight the unique characteristics of Islamic banks and raise serious concerns regarding the applicability of the Basel II methodology for Islamic banks.

This study has important implications for the understanding of operational risk, particularly the specific issues of the Islamic banks' operational risk that arise from the different nature of the financing and investment activities of the banks. With regard to measuring operational risk capital charge, the banks have to choose the right and effective method to ensure the operational risk capital charge will be more in line with the banks' actual risk profile and thus will provide the adequate capital and an improved buffer once the losses are announced.

The paper will fill the gap to the existing literature of operational risk in banking institutions especially Islamic banks, by showing the needs of specific adaption of operational risk measurement and risk management practices due to the nature of Islamic banks.