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Publications

by members of

Indian Institute of Management Kashipur
Kashipur, India

These are publications listed in RePEc written by members of the above institution who are registered with the RePEc Author Service. Thus this compiles the works all those currently affiliated with this institution, not those affilated at the time of publication. List of registered members. Register yourself. Citation analysis. This page is updated in the first days of each month.
| Working papers | Journal articles |

Working papers

2020

  1. Devjani Chatterjee & Akhil Pratap Singh, 2020. "Zone of Possible Agreement in Negotiation: Impact of Gender and Personality," Proceedings of International Academic Conferences 10012557, International Institute of Social and Economic Sciences.

2016

  1. Dilip Kumar, 2016. "Estimating and forecasting value-at-risk using the unbiased extreme value volatility estimator," Proceedings of Economics and Finance Conferences 3205528, International Institute of Social and Economic Sciences.

2014

  1. Maiti, Abhradeep, 2014. "Effect of Joint Custody Laws on Children's Future Labor Market Outcomes," MPRA Paper 57608, University Library of Munich, Germany.
  2. Maiti, Abhradeep & Indra, Debarshi, 2014. "Regional Variations in Labor Demand Elasticities: Evidence from U.S. Counties," MPRA Paper 57544, University Library of Munich, Germany.

2013

  1. E. Anthon Eff & Abhradeep Maiti, 2013. "A measure of technological level for the Standard Cross-Cultural Sample," Working Papers 201302, Middle Tennessee State University, Department of Economics and Finance.

Journal articles

2020

  1. Zargar, Faisal Nazir & Kumar, Dilip, 2020. "Modeling unbiased extreme value volatility estimator in presence of heterogeneity and jumps: A study with economic significance analysis," International Review of Economics & Finance, Elsevier, vol. 67(C), pages 25-41.

2019

  1. Zargar, Faisal Nazir & Kumar, Dilip, 2019. "Long range dependence in the Bitcoin market: A study based on high-frequency data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 515(C), pages 625-640.
  2. Zargar, Faisal Nazir & Kumar, Dilip, 2019. "Informational inefficiency of Bitcoin: A study based on high-frequency data," Research in International Business and Finance, Elsevier, vol. 47(C), pages 344-353.
  3. Shegorika Rajwani & Dilip Kumar, 2019. "Measuring Dependence Between the USA and the Asian Economies: A Time-varying Copula Approach," Global Business Review, International Management Institute, vol. 20(4), pages 962-980, August.

2018

  1. Dilip Kumar, 2018. "Modeling and Forecasting Unbiased Extreme Value Volatility Estimator in Presence of Leverage Effect," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 16(2), pages 313-335, June.

2017

  1. Srinivasa Rao Gangadharan & Dilip Kumar, 2017. "Integration of the Indian stock market with the world market: a study based on the time-varying Kalman filter approach," International Journal of Accounting and Finance, Inderscience Enterprises Ltd, vol. 7(2), pages 110-126.
  2. Kumar, Dilip, 2017. "Realized volatility transmission from crude oil to equity sectors: A study with economic significance analysis," International Review of Economics & Finance, Elsevier, vol. 49(C), pages 149-167.
  3. Dilip Kumar & Srinivasan Maheswaran, 2017. "Value-at-risk and expected shortfall using the unbiased extreme value volatility estimator," Studies in Economics and Finance, Emerald Group Publishing, vol. 34(4), pages 506-526, October.
  4. Dilip Kumar, 2017. "A Study of Risk Spillover in the Crude Oil and the Natural Gas Markets," Global Business Review, International Management Institute, vol. 18(6), pages 1465-1477, December.

2016

  1. Abhradeep Maiti & Debarshi Indra, 2016. "Regional Variations In Labor Demand Elasticity: Evidence From U.S. Counties," Journal of Regional Science, Wiley Blackwell, vol. 56(4), pages 635-658, September.
  2. Dilip Kumar, 2016. "Sudden changes in crude oil price volatility: an application of extreme value volatility estimator," American Journal of Finance and Accounting, Inderscience Enterprises Ltd, vol. 4(3/4), pages 215-234.
  3. Ashish Kumar Garg & Subrata Kumar Mitra & Dilip Kumar, 2016. "Do foreign institutional investors herd in emerging markets? A study of individual stocks," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 43(3), pages 281-300, September.
  4. Shegorika Rajwani & Dilip Kumar, 2016. "Asymmetric Dynamic Conditional Correlation Approach to Financial Contagion: A Study of Asian Markets," Global Business Review, International Management Institute, vol. 17(6), pages 1339-1356, December.

2015

  1. Maiti, Abhradeep, 2015. "Effect of joint custody laws on children's future labor market outcomes," International Review of Law and Economics, Elsevier, vol. 43(C), pages 22-31.
  2. Kumar, Dilip, 2015. "Sudden changes in extreme value volatility estimator: Modeling and forecasting with economic significance analysis," Economic Modelling, Elsevier, vol. 49(C), pages 354-371.
  3. Dilip Kumar, 2015. "Risk Spillover Between the GIPSI Economies and Egypt, Saudi Arabia, and Turkey," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 51(6), pages 1193-1208, November.
  4. Dilip Kumar & Srinivasan Maheswaran, 2015. "Return and volatility spillover among the PIIGS economies and India," American Journal of Finance and Accounting, Inderscience Enterprises Ltd, vol. 4(1), pages 28-49.
  5. Dilip Kumar & S. Maheswaran, 2015. "Long memory in Indian exchange rates: an application of power-law scaling analysis," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 8(1-2), pages 90-107, July.

2014

  1. Kumar, Dilip & Maheswaran, S., 2014. "Modeling and forecasting the additive bias corrected extreme value volatility estimator," International Review of Financial Analysis, Elsevier, vol. 34(C), pages 166-176.
  2. Kumar, Dilip, 2014. "Long range dependence in the high frequency USD/INR exchange rate," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 396(C), pages 134-148.
  3. Kumar, Dilip & Maheswaran, S., 2014. "A reflection principle for a random walk with implications for volatility estimation using extreme values of asset prices," Economic Modelling, Elsevier, vol. 38(C), pages 33-44.
  4. Dilip Kumar, 2014. "Correlations, Return and Volatility Spillovers in Indian Exchange Rates," Global Business Review, International Management Institute, vol. 15(1), pages 77-91, March.
  5. Dilip Kumar & Srinivasan Maheswaran, 2014. "Are major global stock markets efficient? An application of the martingale difference hypothesis with wild bootstrap," American Journal of Finance and Accounting, Inderscience Enterprises Ltd, vol. 3(2/3/4), pages 217-233.
  6. Kumar, Dilip & Maheswaran, S., 2014. "A new approach to model and forecast volatility based on extreme value of asset prices," International Review of Economics & Finance, Elsevier, vol. 33(C), pages 128-140.

2013

  1. Dilip Kumar & S. Maheswaran, 2013. "Return, Volatility and Risk Spillover from Oil Prices and the US Dollar Exchange Rate to the Indian Industrial Sectors," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 7(1), pages 61-91, February.
  2. Maheswaran, S. & Kumar, Dilip, 2013. "An automatic bias correction procedure for volatility estimation using extreme values of asset prices," Economic Modelling, Elsevier, vol. 33(C), pages 701-712.
  3. Kumar, Dilip & Maheswaran, S., 2013. "Detecting sudden changes in volatility estimated from high, low and closing prices," Economic Modelling, Elsevier, vol. 31(C), pages 484-491.
  4. Dilip Kumar, 2013. "Are PIIGS stock markets efficient?," Studies in Economics and Finance, Emerald Group Publishing, vol. 30(3), pages 209-225, July.
  5. Dilip Kumar & S. Maheswaran, 2013. "Asymmetric long memory volatility in the PIIGS economies," Review of Accounting and Finance, Emerald Group Publishing, vol. 12(1), pages 23-43, February.

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