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3590 items in total found

Working Papers | 2022

Performance of quality factor in Indian Equity Market

Joshy Jacob, Pradeep K.P., and Jayanth R.Varma

We study the characteristics of Quality factor (QMJ) in India, which is the second largest emerging market. Dimensions of quality factor are impacted by the weaker enforcement of corporate governance norms in emerging markets. Diversion of revenues by promoters would result in poor profitability, while tunneling of profits would result in lower payout and lower growth. Therefore, investors are likely to attach greater significance to the quality dimensions in stock pricing. Consistent with this hypothesis, the Quality factor is even more important for asset pricing in India than in developed markets. The QMJ factor earns a four factor alpha of 0.92% per month, significantly outperforming the other widely employed factors, market, size, value and momentum factors. A long-only Quality factor earns an alpha of 0.69% per month. The alpha of quality factors is highly significant, judged by the thresholds recommended by Harvey, Liu, and Zhu (2016). The key drivers of the alpha are profitability and payout, which are both consistent with the tunnelling hypothesis. Besides the alpha, the low portfolio churn, lower risk, shorter drawdowns, and viability of long-only strategies restricted to large capitalization stocks suggest that portfolios tilted towards high-quality stocks are highly attractive to institutional and retail investors.

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Popular Press | 2022

The real victims of nativist labour laws? Low-income migrant workers

Chinmay Tumbe

Indian Express

Popular Press | 2022

How Different MSMEs Are Planning To Respond To Covid-19 Crisis?

Chitra Singla

BusinessWorld

Popular Press | 2022

Chief Marketing Officers: Do organisations really need them?, Brand Equity

Sourav Borah

Economic Times

Popular Press | 2022

Mindfulness, the myth of multitasking and winning Our inner game

Vishal Gupta

People Matters

Popular Press | 2022

Cargo drones and the future of logistics in India?(with Ajay Antony, Avi Dutt and Dr. Sandip Chakrabarti)

Debjit Roy

Times of India

Popular Press | 2022

Cargo drones and the future of logistics in India?(with Ajay Antony, Avi Dutt and Dr. Debjit Roy)

Sandip Chakrabarti

Times of India

Popular Press | 2022

Numbers and Beyond: Gender Equity in Corporate India at Board Level, (with Moksh Garg)

Promila Agarwal

Financial Express

Journal Articles | 2022

Modeling landside container terminal queues: Exact analysis and approximations

Debjit Roy, Jan-Kees van Ommeren, René De Koster, and Amir Gharehgozli Ommeren

Transportation Research Part B: Methodological

With the growth of ocean transport and with increasing vessel sizes, managing congestion at the landside of container terminals has become a major challenge. The landside of a sea terminal handles containers that arrive or depart via train or truck. Large sea terminals have to handle thousands of trucks and dozens of trains per day. As trains run on fixed schedule, their containers are prioritized in stacking and internal transport handling. This has consequences for the service of external trucks, which might be subject to delays. We analyze the impact of prioritization on such delays using a stochastic stylized semi-open queuing network model with bulk arrivals (of containers on trains), shared stack crane resources, and multi-class containers. We use the theory of regenerative processes and Markov chain analysis to analyze the network. The proposed network solution algorithm works for large-scale systems and yields sufficiently accurate estimates for performance measurement. The model can capture priority service for containers at the shared stack cranes, while preserving strict handling priorities. The model is used to explore the choice of different internal transport vehicles (with coupled versus decoupled operations at the stack and train gantry cranes) to understand the effect on delays. Our results show that decoupled transport vehicles in comparison to coupled vehicles can mitigate the external truck container handling delays at shared stack cranes by a large extent (up to 12%). However, decoupled vehicles marginally increase the train container handling delays at shared stack cranes (up to 6%). When train arrival rates are low, prioritizing the handling of train containers at the stack cranes significantly reduces their delays. Further, such prioritization hardly delays external truck containers.

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Journal Articles | 2022

Exploring reasons for MD-PhD trainees’ experiences of impostor phenomenon

Devasmita Chakraverty, Jose E. Cavazos, and Donna B. Jeffe

BMC Medical Education

Background

Acceptance into U.S. MD-PhD dual-degree programs is highly competitive, and the lengthy training program requires transitioning between multiple phases (pre-clinical-, PhD-research-, and clinical-training phases), which can be stressful. Challenges faced during MD-PhD training could exacerbate self-doubt and anxiety. Impostor phenomenon is the experience of feeling like a fraud, with some high-achieving, competent individuals attributing their successes to luck or other factors rather than their own ability and hard work. To our knowledge, impostor phenomenon among MD-PhD trainees has not been described. This study examined impostor phenomenon experiences during MD-PhD training and reasons trainees attributed to these feelings.

Methods

Individuals in science and medicine fields participated in an online survey that included the 20-item Clance Impostor Phenomenon Scale (CIPS); higher scores (range 20–100) indicate more frequent impostor phenomenon. Some respondents who reported experiencing impostor phenomenon also voluntarily completed a semi-structured interview, sharing experiences during training that contributed to feelings of impostor phenomenon. Interview transcripts were coded and analysed using the constant comparative method and analytic induction to identify themes.

Results

Of 959 survey respondents (students and professionals in science and medicine), 13 MD-PhD students and residents completed the survey, nine of whom (five male, four female; four white, five other race-ethnicity) also completed an interview. These participants experienced moderate-to-intense scores on the CIPS (range: 46–96). Four themes emerged from the interview narratives that described participants’ experiences of IP: professional identity formation, fear of evaluation, minority status, and, program-transition experiences. All reported struggling to develop a physician-scientist identity and lacking a sense of belonging in medicine or research.

Conclusions

Impostor experiences that MD-PhD participants attributed to bias and micro-aggressions in social interactions with peers, faculty, and patients challenged their professional identity formation as physician-scientists. It is important to further examine how MD-PhD-program structures, cultures, and social interactions can lead to feelings of alienation and experiences of impostor phenomenon, particularly for students from diverse and underrepresented populations in medicine.

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