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Prateek Sharma

Personal Details

First Name:Prateek
Middle Name:
Last Name:Sharma
Suffix:
RePEc Short-ID:psh558
[This author has chosen not to make the email address public]

Affiliation

Indian Institute of Management Udaipur (IIMU)

Udaipur, India
http://iimu.ac.in/
RePEc:edi:iimudin (more details at EDIRC)

Research output

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Jump to: Articles

Articles

  1. Samit Paul & Prateek Sharma, 2017. "Improved VaR forecasts using extreme value theory with the Realized GARCH model," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 34(2), pages 238-259, June.
  2. Sharma, Prateek, 2017. "Long-term persistence in corporate capital structure: Evidence from India," Research in International Business and Finance, Elsevier, vol. 42(C), pages 249-261.
  3. Sharma, Prateek & Vipul,, 2016. "Forecasting stock market volatility using Realized GARCH model: International evidence," The Quarterly Review of Economics and Finance, Elsevier, vol. 59(C), pages 222-230.
  4. Prateek Sharma & Vipul, 2016. "Economic benefits of using realized covariance forecasts in risk-based portfolios," Applied Economics, Taylor & Francis Journals, vol. 48(6), pages 502-516, February.
  5. Prateek Sharma & Swati Sharma, 2015. "Forecasting gains of robust realized variance estimators: evidence from European stock markets," Economics Bulletin, AccessEcon, vol. 35(1), pages 61-69.
  6. Prateek Sharma & Vipul _, 2015. "Forecasting stock index volatility with GARCH models: international evidence," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 32(4), pages 445-463, October.
  7. Prateek Sharma & Samit Paul, 2015. "Does Liquidity Determine Capital Structure? Evidence from India," Global Business Review, International Management Institute, vol. 16(1), pages 84-95, February.
  8. Sharma, Prateek & Vipul,, 2015. "Performance of risk-based portfolios under different market conditions: Evidence from India," Research in International Business and Finance, Elsevier, vol. 34(C), pages 397-411.
    RePEc:eme:mfipps:v:41:y:2015:i:8:p:806-824 is not listed on IDEAS

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

  1. Samit Paul & Prateek Sharma, 2017. "Improved VaR forecasts using extreme value theory with the Realized GARCH model," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 34(2), pages 238-259, June.

    Cited by:

    1. Zhang, Xiaoming & Zhang, Tong & Lee, Chien-Chiang, 2022. "The path of financial risk spillover in the stock market based on the R-vine-Copula model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 600(C).
    2. Hamed Tabasi & Vahidreza Yousefi & Jolanta Tamošaitienė & Foroogh Ghasemi, 2019. "Estimating Conditional Value at Risk in the Tehran Stock Exchange Based on the Extreme Value Theory Using GARCH Models," Administrative Sciences, MDPI, vol. 9(2), pages 1-17, May.

  2. Sharma, Prateek, 2017. "Long-term persistence in corporate capital structure: Evidence from India," Research in International Business and Finance, Elsevier, vol. 42(C), pages 249-261.

    Cited by:

    1. Sarada Dakua, 2020. "Relevance of Capital Structure in Developing Countries: A Special Focus on India," Journal of Finance and Economics Research, Geist Science, Iqra University, Faculty of Business Administration, vol. 5(1), pages 46-58, March.
    2. Yang, Jingyi & Shi, Daqian & Yang, Wenbo, 2022. "Stringent environmental regulation and capital structure: The effect of NEPL on deleveraging the high polluting firms," International Review of Economics & Finance, Elsevier, vol. 79(C), pages 643-656.

  3. Sharma, Prateek & Vipul,, 2016. "Forecasting stock market volatility using Realized GARCH model: International evidence," The Quarterly Review of Economics and Finance, Elsevier, vol. 59(C), pages 222-230.

    Cited by:

    1. Thushari N. Vidanage & Fabrizio Carmignani & Tarlok Singh, 2017. "Predictability of Return Volatility Across Different Emerging Capital Markets: Evidence from Asia," South Asian Journal of Macroeconomics and Public Finance, , vol. 6(2), pages 157-177, December.
    2. Hung, Jui-Cheng & Liu, Hung-Chun & Yang, J. Jimmy, 2020. "Improving the realized GARCH’s volatility forecast for Bitcoin with jump-robust estimators," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    3. Wu, Xinyu & Xia, Michelle & Zhang, Huanming, 2020. "Forecasting VaR using realized EGARCH model with skewness and kurtosis," Finance Research Letters, Elsevier, vol. 32(C).
    4. Ouyang, Zisheng & Lu, Min & Lai, Yongzeng, 2023. "Forecasting stock index return and volatility based on GAVMD- Carbon-BiLSTM: How important is carbon emission trading?," Energy Economics, Elsevier, vol. 128(C).
    5. Mei, Dexiang & Zhao, Chenchen & Luo, Qin & Li, Yan, 2022. "Forecasting the Chinese low-carbon index volatility," Resources Policy, Elsevier, vol. 77(C).
    6. Xie, Haibin & Qi, Nan & Wang, Shouyang, 2019. "A new variant of RealGARCH for volatility modeling," Finance Research Letters, Elsevier, vol. 28(C), pages 438-443.
    7. Nikitopoulos, Christina Sklibosios & Thomas, Alice Carole & Wang, Jianxin, 2023. "The economic impact of daily volatility persistence on energy markets," Journal of Commodity Markets, Elsevier, vol. 30(C).
    8. Afees A. Salisu & Rangan Gupta & Ahamuefula E. Ogbonna, 2022. "A moving average heterogeneous autoregressive model for forecasting the realized volatility of the US stock market: Evidence from over a century of data," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 384-400, January.
    9. Guglielmo Maria Caporale & Luis A. Gil-Alana & Miguel Martin-Valmayor, 2020. "Persistence in the Realized Betas: Some Evidence for the Spanish Stock Market," CESifo Working Paper Series 8171, CESifo.
    10. Jui‐Cheng Hung & Hung‐Chun Liu & J. Jimmy Yang, 2023. "Does the tail risk index matter in forecasting downside risk?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 3451-3466, July.
    11. Mehmet Sahiner, 2022. "Forecasting volatility in Asian financial markets: evidence from recursive and rolling window methods," SN Business & Economics, Springer, vol. 2(10), pages 1-74, October.
    12. Yu, Xing & Li, Yanyan & Gong, Xue & Zhang, Nan, 2022. "Evaluating the performance of futures hedging using factors-driven realized volatility," International Review of Financial Analysis, Elsevier, vol. 84(C).
    13. Yen-Sheng Lee, 2022. "Representative Bias and Pairs Trade: Evidence From S&P 500 and Russell 2000 Indexes," SAGE Open, , vol. 12(3), pages 21582440221, August.
    14. Chen, Zhonglu & Zhang, Li & Weng, Chen, 2023. "Does climate policy uncertainty affect Chinese stock market volatility?," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 369-381.
    15. Chao Liang & Yi Zhang & Yaojie Zhang, 2022. "Forecasting the volatility of the German stock market: New evidence," Applied Economics, Taylor & Francis Journals, vol. 54(9), pages 1055-1070, February.
    16. Beatriz Vaz de Melo Mendes & Victor Bello Accioly, 2017. "Improving (E)GARCH forecasts with robust realized range measures: Evidence from international markets," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 41(4), pages 631-658, October.
    17. Amit K. Sinha, 2021. "The reliability of geometric Brownian motion forecasts of S&P500 index values," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(8), pages 1444-1462, December.
    18. Liang, Chao & Li, Yan & Ma, Feng & Wei, Yu, 2021. "Global equity market volatilities forecasting: A comparison of leverage effects, jumps, and overnight information," International Review of Financial Analysis, Elsevier, vol. 75(C).
    19. Reschenhofer, Erhard & Mangat, Manveer Kaur & Stark, Thomas, 2020. "Volatility forecasts, proxies and loss functions," Journal of Empirical Finance, Elsevier, vol. 59(C), pages 133-153.
    20. Liu, Min & Lee, Chien-Chiang, 2021. "Capturing the dynamics of the China crude oil futures: Markov switching, co-movement, and volatility forecasting," Energy Economics, Elsevier, vol. 103(C).
    21. Wang, Lu & Zhao, Chenchen & Liang, Chao & Jiu, Song, 2022. "Predicting the volatility of China's new energy stock market: Deep insight from the realized EGARCH-MIDAS model," Finance Research Letters, Elsevier, vol. 48(C).

  4. Prateek Sharma & Vipul, 2016. "Economic benefits of using realized covariance forecasts in risk-based portfolios," Applied Economics, Taylor & Francis Journals, vol. 48(6), pages 502-516, February.

    Cited by:

    1. Prateek Sharma & Vipul, 2018. "Improving portfolio diversification: Identifying the right baskets for putting your eggs," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 39(6), pages 698-711, September.
    2. Luo, Jiawen & Chen, Langnan, 2020. "Realized volatility forecast with the Bayesian random compressed multivariate HAR model," International Journal of Forecasting, Elsevier, vol. 36(3), pages 781-799.
    3. Qu, Hui & Zhang, Yi, 2022. "Asymmetric multivariate HAR models for realized covariance matrix: A study based on volatility timing strategies," Economic Modelling, Elsevier, vol. 106(C).
    4. Jiawen Luo & Langnan Chen, 2019. "Multivariate realized volatility forecasts of agricultural commodity futures," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(12), pages 1565-1586, December.

  5. Prateek Sharma & Vipul _, 2015. "Forecasting stock index volatility with GARCH models: international evidence," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 32(4), pages 445-463, October.

    Cited by:

    1. Yutaka Kurihara, 2018. "Occurred Uncertainty by ‘News’ in Japanese Short- and Long-Term Financial Markets," International Journal of Economics and Financial Research, Academic Research Publishing Group, vol. 4(4), pages 93-98, 04-2018.
    2. Paul Bui Quang & Tony Klein & Nam H. Nguyen & Thomas Walther, 2018. "Value-at-Risk for South-East Asian Stock Markets: Stochastic Volatility vs. GARCH," JRFM, MDPI, vol. 11(2), pages 1-20, April.
    3. He Li & Zhixiang Yu & Chuanjie Zhang & Zhuang Zhang, 2017. "Determination of China’s foreign exchange intervention: evidence from the Yuan/Dollar market," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 34(1), pages 62-81, March.
    4. Nagaraj Naik & Biju R. Mohan, 2021. "Stock Price Volatility Estimation Using Regime Switching Technique-Empirical Study on the Indian Stock Market," Mathematics, MDPI, vol. 9(14), pages 1-18, July.
    5. Tissaoui, Kais & Azibi, Jamel, 2019. "International implied volatility risk indexes and Saudi stock return-volatility predictabilities," The North American Journal of Economics and Finance, Elsevier, vol. 47(C), pages 65-84.

  6. Prateek Sharma & Samit Paul, 2015. "Does Liquidity Determine Capital Structure? Evidence from India," Global Business Review, International Management Institute, vol. 16(1), pages 84-95, February.

    Cited by:

    1. Haifeng Hu & Minjing Qi, 2022. "New Evidence on National Culture and Corporate Financing: Does Institutional Quality Matter?," Sustainability, MDPI, vol. 14(19), pages 1-24, October.
    2. Muhammad Sadil Ali & Shujahat Haider Hashmi, 2018. "Impact of Institutional Ownership on Stock Liquidity: Evidence from Karachi Stock Exchange, Pakistan," Global Business Review, International Management Institute, vol. 19(4), pages 939-951, August.
    3. Aditi Singh & Madhumita Chakraborty, 2017. "Examining Efficiencies of Indian ADRs and their Underlying Stocks," Global Business Review, International Management Institute, vol. 18(1), pages 144-162, February.
    4. ElBannan, Mona A., 2017. "Stock market liquidity, family ownership, and capital structure choices in an emerging country," Emerging Markets Review, Elsevier, vol. 33(C), pages 201-231.
    5. Sharma, Prateek, 2017. "Long-term persistence in corporate capital structure: Evidence from India," Research in International Business and Finance, Elsevier, vol. 42(C), pages 249-261.
    6. Tekalign Negash Kebede, 2024. "Firm-specific and country-level determinants of commercial banks capital structures: evidence from Ethiopia," Journal of Innovation and Entrepreneurship, Springer, vol. 13(1), pages 1-25, December.

  7. Sharma, Prateek & Vipul,, 2015. "Performance of risk-based portfolios under different market conditions: Evidence from India," Research in International Business and Finance, Elsevier, vol. 34(C), pages 397-411.

    Cited by:

    1. Arezoo Mohammadi & Mehrzad Minnoei & Zadollah Fathi & Mohamamd Ali Keramati & Hossein Baktiari, 2022. "Optimal allocation of bank resources and risk reduction through portfolio decentralization," International Journal of Economic Sciences, European Research Center, vol. 11(2), pages 92-143, November.

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