The objectives of this research were to explore risk management practices influencing the success of IT projects. Data were collected from 200 project managers, IT managers, and IT analysts in the IT firms through questionnaires and analysed using the Independent Sample t-test, One-way ANOVA, and Multiple Linear Regression at the statistical significance level of 0.05.

Projects tend to exceed planned timelines and budgets. One reason may be that potential project risks are insufficiently reflected in anticipations of project success. Furthermore, project managers’ overconfidence may lead them to assess risk in a biased manner. The present study examines how risk assessment relates to overall anticipated project success and how overconfidence on the part of project managers influences such assessments. We assume that project managers’ risk awareness serves as a mediator between overconfidence and risk assessment.

The purpose of this research was to study the recognition, application and quantification of the risks associated in managing projects. In this research, the management of risks in an oil and gas project is studied and implemented within a case company in Oman. In this study, at first, the qualitative data related to risks in the project were identified through field visits and extensive interviews. These data were then translated into numerical values based on the expert’s opinion. Further, the numerical data were used as an input to Monte Carlo simulation.

This paper gives an alternative to the capital asset pricing model beta based on the entropy concept of statistical mechanics. This measure is shown to have a higher explanatory power than that used in the typical capital asset pricing model

This paper proposes a new generative uncertainty mechanism based on the Bayesian Inference and Correntropy (BIC) technique for accurately evaluating asset pricing in markets. The key findings reveal that the precise modeling of asset information can estimate price changes in the market effectively.

A novel approach is proposed to measure market risk based on the mathematical technique of wavelets. Noteworthy heterogeneity across frequencies and time are found, highlighting the usefulness of the wavelet approach

A structural vector autoregression model is developed to analyze the dynamics of bond spreads among a sample of mature and developing countries during periods of financial stress

This paper studies the influence of corporate governance on equity risk

The purpose of this paper is to show that differences in the ERP between developed and emerging markets lead to many empirical asset pricing issues.

This paper looks at the economic determinants of equity risk premiums, including investor risk aversion, information uncertainty and perceptions of macroeconomic risk. It also surveys two other approaches to estimating equity risk premiums rather than historical returns - the survey approach, where investors and managers ar asked to assess the risk premium and the implied approach, where a forward-looking estimate of the premium is estimated using either current equity prices or risk premiums in non-equity markets.