| Paper ID |
IJIFR/V13/E10/002
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| Author |
Ms.Radhika Jayakumar, Assistant Professor, Department of Commerce PA & CS, Sri Krishna Arts & Science College, Coimbatore, Tamil Nadu, India
Dr.P.R.Brinda Kalyani, Associate Professor, Department of Commerce PA & CS, Sri Krishna Arts & Science College, Coimbatore, Tamil Nadu, India
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| Paper Title |
Digital Transformation in Banking and Trading: Regime-Based Analysis of Automated Quant Fund Performance in India
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| Subject Category |
Finance
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| Abstract |
Automated Quant Mutual Funds (AQMFs) are being increasingly adopted in the Indian Mutual Fund Industry due to the digital transformation that has changed the way banks operate and trade. The AQMFs can use Algorithmic Models, Data Analytics, and Rule-Based Asset Allocation to improve efficiency and reduce risk in dynamic markets. However, the performance behaviour of the AQMFs has been inadequately examined when comparing the performance across different levels of market volatility. Therefore, this research will examine the performance of the two quant-oriented mutual fund schemes using daily data from April 2023 to January 2026, relative to two key market indicators: the NIFTY 50 Index and the India VIX. To achieve the objective of this study, a two-state Markov Regime-Switching Regression Model with regime-dependent means and variances will be used to determine whether there are distinct low- and high-volatility market regimes and to measure the time-varying return and risk dynamics during each regime. The findings suggest that automated quant funds produce statistically significant positive returns with lower volatility when low volatility exists and significantly higher risk (and therefore, likely, insignificantly negative returns) when high volatility exists. It is also shown that the empirically derived regimes correspond well with both the level of the India VIX and the return behaviour of the Nifty 50. Therefore, this indicates the robustness of the analytical model employed in this research. As such, it appears that the use of regime-specific methods to evaluate the performance of digitized quantitative strategies provides a much more accurate representation of the true performance of these strategies relative to those generated from static models. This research also identifies a number of important implications for investors, fund managers and policy makers regarding the need for volatility sensitive and dynamic investment strategies as India's rapidly changing digital environment evolves.
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| Keyword |
Digital Transformation, Quant Funds, Regime Analysis, Market Volatility, Automated Trading
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| Paper ID |
IJIFR/V13/E10/001
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| Author |
Navjot Kaur Atwal, Mount Carmel College, Bengaluru
Dr. Hamsa N, Dean and Associate Professor, Department of Psychology, Mount Carmel College Autonomous, Bengaluru
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| Paper Title |
Examining the Relationship between Resilience and Self-Esteem Levels among Reappearing Candidates in the Civil Service Examinations (CSE)
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| Subject Category |
Psychology
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| Abstract |
The purpose of this study was to examine the resilience and Self-Esteem levels of reappearing
candidates in the Civil Service Examination (CSE). It was hypothesized that there is a significant difference in the level of resilience and self-esteem among candidates giving their first two
attempts (Group 1) and third to sixth attempts (Group 2) in the civil service examination. In addition, there is a significant difference in the level of resilience and self-esteem among
candidates belonging to different genders appearing in the civil service examination. There were 105 participants in the study. Resilience was assessed using the Connor Davidson Resilience
Scale (CDRS-25), while self esteem was measured using the Rosenberg Self-esteem Scale. The results indicated no significant difference in the level of resilience between the two groups.
However, there is a significant difference in the self - esteem levels between the two groups. Additionally, no significant difference was found in the level of resilience and self-esteem among candidates belonging to different genders.
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| Keyword |
Civil Service Examination, Resilience, Self-esteem, gender
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