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This paper studies the effect of the space (distance) between lotteries' outcomes on risk-taking behavior and the shape of estimated utility and probability weighting functions. Previously investigated experimental data shows a significant space effect in the gain domain. As compared to low spaced lotteries, high spaced lotteries are associated with higher risk aversion for high probabilities of gain and higher risk-seeking for low probabilities of gain. Hence, the investigation is carried under cumulative prospect theory that respects framing effect and characterizes risk attitudes with respect to probabilities and outcomes. The observed certainty equivalents of lotteries are assumed to be driven by cumulative prospect theory. To estimate the parameters of cumulative prospect theory with maximum likelihood, the usual error term is added. The cumulative prospect theory is incapable of explaining the space effect as its parameters cannot explain the average behavior. Taking account of heterogeneity, a two-component mixture model shows that behavioral parameters of around 25% of the sample can explain the observed differences in relative risk aversions. The results confirm the previous findings of aggregation bias associated with representative-agent models. Furthermore, the results have implications for experimental designs as high space between lotteries' outcomes is required to guarantee the curvature of utility functions.

As a trading strategy, pairs trading is performed based on the arbitrage opportunities extracted from statistical models. It is an outcome of the distance between an asset pair and the equilibrium state. Consequently, selecting a pair with the potential to form long-term relationships and reverting to the mean is the main challenge associated with pair trading. Cointegration is one of the most famous statistical tests for selecting a pair's trading. The present study uses Empirical Mode Decomposition (EMD) to decompose the time series of an asset pair price into its constituent elements (intrinsic mode functions). This study examined the property of cointegration across different levels and the corresponding levels of 2- time series to find the cointegration pairs in different decomposition levels and finally examine the resulting profitability. To this end, the profitability of the pairs trading system related to 14 stocks of the Tehran Stock Exchange throughout 2012-2021 was investigated based on EMD. The results showed that the outputs are pretty noticeable for the first level of decomposition (the first intrinsic mode function), and the number of trading opportunities increased by more than two times compared to the normal pair trading with cointegration; the daily returns increased by four times; and the Sharpe ratio increased by about two times compared to the normal pairs trading. The system formed based on the second mode function also outperformed the normal cointegration, and the performance of the third intrinsic mode function is almost on par with that of cointegration. Moreover, the mean transaction duration decreased remarkably in the first and second mode functions.

As a significant consequence of internal and external characteristics in auditors, independence plays a vital role in promoting professional judgment in auditing. This dimension of individual audit functions has always been considered one of the areas studied in this profession due to its integration with the perceptual and often intangible features of auditors’ behavior. Therefore, this study, understanding the importance of independence functions in the auditing profession, seeks to identify the characteristics of inertia as a stimulus for independence in auditing in the petrochemical industry to act on its interpretive ranking. This research is a mixed method due to the nature of data collection. It first uses interviews to identify the characteristics of inertia in the auditing profession and then employs the checklists of the pair scale to determine the interpretive ranking. Accordingly, the grounded theory and the quantitative part are used in the qualitative part, and Delphi analysis and the interpretive ranking process are used. The statistical population in the qualitative section were 12 auditing professionals who, in terms of theoretical knowledge, had the necessary capabilities to develop the concept studied in this study. They were selected through theoretical sampling based on the snowball technique. The statistical population in the quantitative part were 19 auditors with work experience in the petrochemical industry and a level of technical and specialized knowledge; they were selected using homogeneous sampling. The research results in the qualitative part indicate the existence of 3 categories, 8 components, and 35 concept codes that have laid the inertial features in the auditing profession in the form of an 8-dimensional integrated model. On the other hand, the results in the quantitative part show that the percentage of influence of the locus of control feature is higher than other inertial features in the audit profession in the petrochemical industry, implying that the auditor’s encirclement on individual control in success and failure can avoid a set of external factors such as chance and lead fate in audit functions. In other words, an auditor with the characteristics of an internal locus of control tries to use his/her ability to express independent behavior in professional comments and judgments, regardless of external reasons

In the multifaceted landscape of entrepreneurship, this research delves into the intricate relationship between entrepreneurial orientation and entrepreneurial intention, focusing specifically on the final-year female undergraduates in Nigerian federal universities. Grounded in the Human Capital Theory (HCT), this study uncovers profound insights into the multifaceted relationships between various entrepreneurial traits and their influence on entrepreneurial intentions. The findings reveal a nuanced relationship between traits such as autonomy, competitive aggressiveness, risk-taking, self-esteem, and the sense of inclusion with entrepreneurial intentions. Autonomy and competitive aggressiveness emerge as significant influencers, while risk-taking displays a non-significant association. Self-esteem holds profound implications, while the sense of inclusion exerts a more subdued impact on entrepreneurial intentions. Theoretical implications challenge and expand existing frameworks, notably HCT. While HCT posits that investments in education and training foster entrepreneurial traits, this study suggests a more intricate relationship. The non-significant association of certain traits, despite their emphasis in HCT, underscores the need for a nuanced understanding, possibly integrating other theoretical frameworks. From a practical standpoint, these findings guide policymakers and educators in designing targeted interventions. Specialized training programs, workshops, and courses emphasizing autonomy, competitive aggressiveness, and self-esteem can be developed. Integrating competitive elements, like business plan competitions, can nurture students' competitive drive. Policy recommendations include tailored entrepreneurial education, fostering inclusive environments, promoting a risk-taking culture, supporting longitudinal studies, and enhancing collaboration between educational institutions and industry.