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The study intends to shed lights on whether the risk factors disclosed in the initial public offering (IPO) prospectus in Malaysia are able to reflect the actual risks of stocks once they are traded on the exchange. In other words, the purpose of this paper is to explore whether prospective investors will be able to benefit, in terms of the more accurate risk information, from the risk disclosures in the IPO-prospectus.

Using data obtained from 118 IPO prospectuses of Malaysian companies that issued shares on Bursa Malaysia in the period from 2009 to 2016, the authors investigated whether the “risk factor” section in the IPO prospectuses provides sufficient risk-relevant information to investors. To determine whether companies disclose risk-relevant information, a detailed content analysis of the risk sections was carried out to obtain an aggregate measure of risk disclosure.

The findings revealed that the aggregate measures of risk extracted from these texts did not successfully predict the following outcomes: the volatility of companies’ future stock prices, the sensitivity of future stock prices to market-wide fluctuations and the severe declines in future stock prices.

As indicated by the findings, the authors, therefore, deduce that the IPO prospectuses of Malaysian companies do not provide sufficient risk-relevant information in the risk factor section. The findings imply that overall the management of Malaysian companies would neither be able nor willing to disclose the right and relevant information to the public via IPO prospectus.

Many corporate risk disclosure studies focus primarily on the disclosures of annual reports of companies. The study intends to fill the gap by focusing on the risk disclosure in the IPO-prospectus. Risk disclosures in IPO-prospectus are farmore extensive than annual reports and, therefore, provide a richness of information that will not be available in the annual reports.

This paper seeks to examine the risk relevance of fair value income measures under IAS 39 and IAS 40.

The study sample comprises Jordanian insurance companies. Data were collected from two main sources: Jordanian insurance companies' annual reports, and the official website of the Amman Stock Exchange. The study begins by investigating the volatility of four income measures, calculated by including and excluding holding gains or losses of financial instruments and property investments. Then it examines the association between its four income volatility measures and one stock market‐based risk factor, in order to provide evidence on the risk‐related information content of each income volatility measure.

Income based on fair values reflects income volatility more than historical cost‐based income. It is also found that income is (not) more volatile with the recognition of unrealized fair value gains/losses on financial instruments (investment property). Results of assessing the relative explanatory power of income volatility measures suggest that not all fair value income volatility measures can be a good proxy of the total risk. On the contrary, none of our income volatility measures provides significant incremental risk‐relevant information for total risk.

Most prior studies have focused on the value relevance of fair value accounting in Western developed countries, and mainly in the banking sector. This study makes a significant contribution to existing knowledge via exploring the applications of fair value accounting by insurance companies and investigating the implications of mark‐to‐market on risk, instead of share price, in an emerging country – Jordan. The findings of this study are useful to researchers and capital‐market participants interested in explaining accounting and market risk measures.

This research aimed at identifying the most significant risks relevant to construction contracts of two power station projects in Egypt. These were large scale, fast‐track projects where a multi‐package contracting plan was utilized. Further, the study investigated how risks were perceived and managed by a large sample of Egyptian and international contractors who participated in the execution of these two major projects. A checklist of risk categories was developed to aid contractors in their risk identification effort. The compilation of this checklist identified the following risk categories: 1) owner’s obligations; 2) interface with other contractors; 3) liability risks; 4) financial risks; 5) risks related to changes; 6) technical risks and 7) consortium risks. Research results identified a marked lack of consistency in the contractors’ risk identification effort. Contractors possessing past experience in Egypt were far better able to identify the relevant risks. On the other hand, local Egyptian contractors with vast experience in Egypt but limited project management experience were shown to lack the necessary expertise to properly identify risks and to take the appropriate exceptions. Furthermore, the results revealed that bidders do not include in their proposals their “true” lists of exceptions which represent genuine risks to them.

Much has been written about intimate partner homicide (IPH), but empirical examinations have been less rigorous and mostly descriptive in nature. The purpose of this paper is to provide an exploration of the characteristics of fatal intimate partner violence (IPV) cases.

A direct comparison of fatal IPHs with both a matched sample of non-fatal IPV cases and a random selection of non-fatal IPV cases is made on a number of offence, offender, victim characteristics and risk-relevant variables.

Despite assertions that domestic homicide is different than domestic violence, in general, few notable differences emerged among the groups. Prior domestic incidents differed between the matched fatal and non-fatal cases, where a greater proportion of the homicide perpetrators had a prior domestic incident. Other differences that were found revealed that more non-fatal perpetrators had substance abuse problems, younger victims and been unemployed at the time of the offence. However, differences were minimal when fatal and non-fatal IPV perpetrators were matched on demographic features and criminal history.

This study highlights that there may be few features that distinguish IPH and non-fatal violence. Rather than be distracted with searching for risk factors predictive of fatality, we should evaluate IPV risk using broad-based approaches to determine risk for reoffending and overall severity of reoffending.

Biotech share price is highly volatile, compared to most other industries. There is limited explanation for what causes such a high volatility. The purpose of this study is to explore how R&D strategies selected by biotech firms affect their share price volatilities. Specifically, the paper empirically investigates the impact of drug discovery and development diversification on share price volatility.

Regression analysis is applied to observe the effect of R&D strategy on share price volatility. Share price volatility is regressed on the measure of drug discovery and development diversification. Strategies are classified into two categories: diversified vs. concentrated. Meanwhile, other factors that have an influence on share price volatility such as firm maturity, firm size, and book‐to‐market ratio are controlled. For robustness, a return model is also used to further test the effect of R&D strategy, and sensitivity analyses using alternative drug discovery and development diversification measures are performed. Empirical data was collected for publicly‐traded biotech firms from COMPUSTAT, CRSP and Biospace.

The major finding of this study is the significant impact of R&D strategy in term of drug discovery and development diversification on share price volatility. Firms that have more diversified drug portfolios are associated with lower share price volatilities; and lower stock returns. In contrast, firms that have more concentrated drug portfolios are associated with higher share price volatilities; and higher stock returns.

Future research can explore effects of other aspects of the drug discovery and development as well as other firm attributes on biotech share price volatility. In addition, share price volatility may have impacts on managerial issues such as employee stock option issuance. Such impacts should also be studied.

This study targets a major aspect (i.e. R&D strategy) of the very fundamental value drive in the industry (i.e. drug discovery and development) to shed light on the limited understanding of what contribute to biotech share price volatility. The benefit of produce diversification has been examined in some other industries; however, its benefit is largely unknown in the biotech industry. This study has implications for investor risk assessment and corporate risk management.

The purpose of this paper is to examine sexual offender treatment responses as a function of psychopathy subtype.

Measures of sexual violence risk, treatment change and outcome variables were coded retrospectively on a sample of 86 high Psychopathy Checklist-Revised (PCL-R) scoring sexual offenders. Psychopathy subtypes were identified through cluster analysis of PCL-R facet scores.

Two subtypes were identified labeled classic and aggressive. They were comparable in their level of risk and need and did not differ in rates of treatment completion or change. The aggressive subtype had higher rates of violent and general recidivism and higher frequencies of major mental disorder and cognitive disability. Results of Cox regression survival analysis demonstrated that treatment-related changes in risk were associated with reductions in violent recidivism for the aggressive, but not classic, psychopathy variant.

Psychopathy is a heterogeneous syndrome. Moreover, psychopathic offenders can demonstrate risk relevant treatment changes. PCL-R facet profiles have important responsivity implications. However, not all psychopathic offenders fare poorly in treatment.

This is one of very few studies to examine treatment response and links to outcome among psychopathic offenders, particularly as this relates to subtype.

This paper aims to examine the foreign exchange (FX) risk effects of cash flow hedge accounting (HA). To the extent the HA qualification criteria and detailed documentation give investors confidence that FX derivatives effectively hedge risk, market-assigned FX risk premiums will be lower for firms using cash flow HA.

Probit analyses rely on the HA designation to examine the decision to use cash flow HA. Primary analyses test the hypothesized relationship between the magnitude of FX risk premiums and such HA use. Additional analyses allow for the interaction between cash flow HA use and the extent of FX derivatives use.

Hypothesis tests indicate that the magnitude of the FX risk premium is, on average, lower for firms designated as effective cash flow hedgers. In additional tests, the evidence suggests that the market assigns a lower FX risk premium to firms using a higher level of FX derivatives as effective cash flow hedges.

The findings suggest that cash flow HA provides risk-relevant information to investors. Such positive effects of HA on investors’ understanding of risk management may guide US accounting regulators in their efforts to improve HA. Corporate treasurers also may benefit from these insights into evaluating the use of HA.

Responding to the call for research on the risk relevance of cash flow HA, this paper merges the HA literature with the FX risk management literature to directly examine the relationship between HA use and FX risk premiums for manufacturing firms. The authors take an innovative approach using FX rates to which each firm is most exposed and provide evidence consistent with the argument that this approach is helpful in understanding both the decision to use cash flow HA and the effect of such HA use on market-assigned FX risk premiums.

Introduces the basic concepts of risk management and their application to the field of facilities management (FM). Identifies the main classes of risk relevant to FM and introduces a model for determining the exposure of an organization to risk and for identifying the level of control that may be exercised over particular risks. Discusses responsibilities for risk and provides a plan of action for risk management.

Globally expanding supply chains (SCs) have grown in complexity increasing the nature and magnitude of risks companies are exposed to. Effective methods to identify, model and analyze these risks are needed. Risk events often influence each other and rarely act independently. The SC risk management practices currently used are mostly qualitative in nature and are unable to fully capture this interdependent influence of risks. The purpose of this paper is to present a methodology and tool developed for multi-tier SC risk modeling and analysis.

SC risk taxonomy is developed to identify and document all potential risks in SCs and a risk network map that captures the interdependencies between risks is presented. A Bayesian Theory-based approach, that is capable of analyzing the conditional relationships between events, is used to develop the methodology to assess the influence of risks on SC performance

Application of the methodology to an industry case study for validation reveals the usefulness of the Bayesian Theory-based approach and the tool developed. Back propagation to identify root causes and sensitivity of risk events in multi-tier SCs is discussed.

SC risk management has grown in significance over the past decade. However, the methods used to model and analyze these risks by practitioners is still limited to basic qualitative approaches that cannot account for the interdependent effect of risk events. The method presented in this paper and the tool developed demonstrates the potential of using Bayesian Belief Networks to comprehensively model and study the effects or SC risks. The taxonomy presented will also be very useful for managers as a reference guide to begin risk identification.

The taxonomy developed presents a comprehensive compilation of SC risks at organizational, industry, and external levels. A generic, customizable software tool developed to apply the Bayesian approach permits capturing risks and the influence of their interdependence to quantitatively model and analyze SC risks, which is lacking.

The aim of this paper is to explore the value of collaborative risk management in a decentralised multi-tier global fresh produce supply chain.

This study utilised a mixed methods approach. A qualitative field study was conducted to examine the need for collaborative risk management. The simulation experiments with industry datasets were conducted to assess whether risk-sharing contracts work in mitigating joint risks in parts of and across the supply chain.

The qualitative field study revealed risk propagation and the inefficiency of company-specific risk management strategies in value delivery. The simulation results indicated that risk-sharing contracts can incentivise various actors to absorb interrelated risks for value creation.

The research is limited to risks relevant to supply chain processes in the Australia–China table grrape supply chain and does not consider product-related risks and the risk-taking behaviours of supply chain actors.

Collaborative risk management can be deployed to mitigate systematic risks that disrupt global fresh produce supply chains. The results offer evidence-based knowledge to supply chain professionals in understanding the value of collaborative risk assessment and management and provide insights on how to conduct collaborative risk management for effective risk management.

The results contribute to the supply chain risk management literature by new collaborative forms for effective risk management and strategic competition of “supply chain to supply chain” in multi-tier food supply chains.