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Introduction: Vertical Jump Performance (VJP) has been identified as a significant characteristic in elite volleyball players and is an essential component for successful volleyball practice. Aim: To better understand volleyball players' anthropometric and physical fitness characterstics and to predict jumping performance of the players using these variables. Materials and Methods: For this cross-sectional study, 20 Indian junior male volleyball players were randomly selected from a coaching camp organised at Lakshmibai National Institute of Physical Education (LNIPE), Gwalior, Madhya Pradesh, India from May 2018 to July 2018. All the subjects were measured for VJP, selected anthropometrics {Right Thigh Girth (RTTG), Left Thigh Girth (LTTG), Average Thigh Girth (ATG), Right Calf Girth (RCG) and Left Calf Girth (LCG), Average Calf Girth (ACG)} and physical fitness characteristics {Flexibility (FLEX), Left Calf Strength Endurance (LTCSE), Right Calf Strength Endurance (RTCSE), speed, Core Endurance Abdomen Flexion (CEAF), Core Endurance Back Extension (CEBE), Low Body Explosive Power (LBEP) and Upper Body Explosive Power (UBEP), Cardiorespiratory Fitness (CF), VO2 max, Abdominal Endurance (AE). The Subset regression analysis method was used to fit the appropriate linear regression model, while R-Square and Akaike Information Criterion (AIC) were used to identify a better model for a proper explanation of the vertical jumping performance of volleyball players, and a level of significance was set at the 0.05 level. Results: The volleyball players included had an average age of 18.05±0.76 years. The results revealed that CEBE (ß=-0.1525, p=0.0199), FLEX (ß=1.0842, p=0.0001), LBEP (ß=8.1636, p=0.0018), right (ß=-0.2417, p=0.0125), and LTCSE (ß=0.5143, p=0.0012), VO2 max (ß=-9.2467, p<0.001), and AE (ß=1.0009, p<0.001) were the variables with the highest predictive power for jumping performance. Conclusion: The current study identifies CEBE, FLEX, LBEP, RTCSE and LTCSE, VO2 max, and AE as critical factors for improving jumping performance, emphasising the importance of considering multiple anthropometric and physical fitness variables when identifying talent and designing a volleyball training programme. [ABSTRACT FROM AUTHOR]

This study examines the impact of crude oil volatility jumps on the realized volatility (RV) of green and dirty stocks in India. In doing so, we first estimate the time‐varying jumps in oil market implied volatility index (OVX) and then augment the heterogeneous autoregressive (HAR) process with the information on such jumps. Our sample runs from December 2012 to April 2022, which includes 2328 data points. Comparing a range of HAR‐type models, we find that crude oil volatility jumps provide additional information, which is not contained even in the OVX index itself. In particular, the HAR–RV model that considers both leverage effects and the information on volatility jumps produces superior forecasts compared with the existing approaches. The economic significance of these results is also supported by a simple value‐at‐risk analysis. [ABSTRACT FROM AUTHOR]

Today India has witnessed a quantum jump in development process. Rise of modern age industries mindset of youths purchasing power etc has laid a new foundation for economic development. changes in economic scenario re rises a need for imparting and promoting skill sets of young population to tap opportunities and overcome challenges posed to m. re is considerable emphasis on laying and stressing on education and training in India but re is dearth in raising and enhancing needs and demands for skill initiatives. Present paper focuses on addressing skill gap in India and also studies various skill development initiatives undertaken by government. Paper is constructed by applying demand and supply approach to address skill gap and also appraising existing skill development initiatives undertaken by government at various levels and states in India. [ABSTRACT FROM AUTHOR]