Estimation of multiple period expected shortfall and median shortfall for risk management

With the regulatory requirements for risk management, Value at Risk (VaR) has become an essential tool in determining capital reserves to protect the risk induced by adverse market movements. The fact that VaR is not coherent has motivated the industry to explore alternative risk measures such as expected shortfall. The first objective of this paper is to propose statistical methods for estimating multiple-period expected shortfall under GARCH models. In addition to the expected shortfall, we investigate a new tool called median shortfall to measure risk. The second objective of this paper is to develop backtesting methods for assessing the performance of expected shortfall and median shortfall estimators from statistical and financial perspectives. By applying our expected shortfall estimators and other existing approaches to seven international markets, we demonstrate the superiority of our methods with respect to statistical and practical evaluations. Our expected shortfall estimators likely provide an unbiased reference for setting the minimum capital required for safeguarding against expected loss.     

What matters in technology leakage in small and medium enterprises: the case of Korea

Technology leakage in small and medium enterprises (SMEs) is a critical issue because while the number of main technologies in SMEs is small, these technologies are crucial to their survival. Related factors must be identified to prevent technology leakage from SMEs. In this paper, we use logistic regression to find significant factors in Korean SMEs, focusing on three aspects: characteristics of the technology, prevention strategy, and firm’s R&D characteristics. We use a survey conducted by related national institutions. According to the results of our empirical study, interaction effects among the factors of technology characteristics have highly significant effects on technology leakage. In particular, the interaction effect between the time needed to imitate the technology and the stage of business growth appears to have the highest influence on technology leakage. Based on our results, detailed strategies for preventing technology leakage are inferred in order to help SMEs prioritise their resources.     

The effect of parental leave duration on early-career wage growth

Work–family policies are meant to support labor force participants, but they often result in lower rewards for those who use them. Based on the ideal worker norm framework and signalling theory, we hypothesise that parental leave duration will result in lower wage growth, above and beyond that of having children. The 1997 National Longitudinal Survey of Youth data from 2000 to 2015 are used to test the hypotheses with a longitudinal sample (14 waves) of individuals in the United States who worked before and after taking parental leave (n = 6723). Discontinuous growth models are used to predict the penalty for parental leave duration for men and women. We find that both men and women suffer from a lower hourly wage growth for taking longer parental leave and that there are more severe penalties for taking paid parental leave than taking unpaid parental leave. Practitioner notes What is currently known?

• utilization of parental leave is significantly related to the wellbeing of employees and their families.
• However, employees are penalized for taking parental leave.

What this study adds?

• Paid parental leave, which is mostly available to skilled, professional employees carries a noticeable early-career wage penalty, but the use of unpaid leave, does not.
• Both men and women are penalized for taking parental leave, but the longer parental leaves women take increase the gender pay gap.

Implications for practitioners:

• HR practitioners should monitor whether employees are penalized for taking parental leave.
• HR practitioners should try incentivizing male employees to take parental leave that is comparable to the one taken by their female employees.