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Jyri Kinnunen

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First Name:Jyri
Middle Name:
Last Name:Kinnunen
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RePEc Short-ID:pki416
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Affiliation

Hanken Svenska Handelshögskolan

Helsinki, Finland
http://www.hanken.fi/
RePEc:edi:shhhhfi (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Kinnunen, Jyri & Martikainen, Minna, 2015. "Expected returns and idiosyncratic risk: Industry-level evidence from Russia," BOFIT Discussion Papers 30/2015, Bank of Finland Institute for Emerging Economies (BOFIT).
  2. Kinnunen, Jyri & Martikainen, Minna, 2015. "Expected returns and idiosyncratic risk: Industry-level evidence from Russia," BOFIT Discussion Papers 30/2015, Bank of Finland Institute for Emerging Economies (BOFIT).

Articles

  1. H. Ojala & J. Kinnunen & L. Niemi & P. Troberg & J. Collis, 2020. "A Reply to the Discussion of “What Turns the Taxman On? Tax Aggressiveness, Financial Statement Audits, and Tax Return Adjustments in Small Private Companies”," The International Journal of Accounting (TIJA), World Scientific Publishing Co. Pte. Ltd., vol. 55(03), pages 1-4, September.
  2. Kinnunen, Jyri, 2017. "Dynamic cross-autocorrelation in stock returns," Journal of Empirical Finance, Elsevier, vol. 40(C), pages 162-173.
  3. Jyri Kinnunen & Minna Martikainen, 2017. "Expected Returns and Idiosyncratic Risk: Industry-Level Evidence from Russia," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 53(11), pages 2528-2544, November.
  4. Jyri Kinnunen & Minna Martikainen, 2017. "Dynamic Autocorrelation and International Portfolio Allocation," Multinational Finance Journal, Multinational Finance Journal, vol. 21(1), pages 21-48, March.
  5. Kinnunen, Jyri, 2014. "Risk-return trade-off and serial correlation: Do volume and volatility matter?," Journal of Financial Markets, Elsevier, vol. 20(C), pages 1-19.
  6. Kinnunen, Jyri, 2013. "Dynamic return predictability in the Russian stock market," Emerging Markets Review, Elsevier, vol. 15(C), pages 107-121.

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.

Working papers

  1. Kinnunen, Jyri & Martikainen, Minna, 2015. "Expected returns and idiosyncratic risk: Industry-level evidence from Russia," BOFIT Discussion Papers 30/2015, Bank of Finland Institute for Emerging Economies (BOFIT).

    Cited by:

    1. John Murugesu & Chandra Sakaran, 2019. "The Interaction of Market Risk and Idiosyncratic Risk on Equity Mutual Fund Returns," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 10(6), pages 1-14, October.
    2. Samargandi, Nahla & Kutan, Ali M. & Sohag, Kazi & Alqahtani, Faisal, 2020. "Equity market and money supply spillovers and economic growth in BRICS economies: A global vector autoregressive approach," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).

  2. Kinnunen, Jyri & Martikainen, Minna, 2015. "Expected returns and idiosyncratic risk: Industry-level evidence from Russia," BOFIT Discussion Papers 30/2015, Bank of Finland Institute for Emerging Economies (BOFIT).

    Cited by:

    1. John Murugesu & Chandra Sakaran, 2019. "The Interaction of Market Risk and Idiosyncratic Risk on Equity Mutual Fund Returns," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 10(6), pages 1-14, October.
    2. Samargandi, Nahla & Kutan, Ali M. & Sohag, Kazi & Alqahtani, Faisal, 2020. "Equity market and money supply spillovers and economic growth in BRICS economies: A global vector autoregressive approach," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).

Articles

  1. Jyri Kinnunen & Minna Martikainen, 2017. "Expected Returns and Idiosyncratic Risk: Industry-Level Evidence from Russia," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 53(11), pages 2528-2544, November.
    See citations under working paper version above.
  2. Kinnunen, Jyri, 2014. "Risk-return trade-off and serial correlation: Do volume and volatility matter?," Journal of Financial Markets, Elsevier, vol. 20(C), pages 1-19.

    Cited by:

    1. Qamar Ishtiaq & Fahad Abdullah, 2015. "Ownership Concentration and Cross-Autocorrelation in Portfolio Returns," Business & Economic Review, Institute of Management Sciences, Peshawar, Pakistan, vol. 7(2), pages 85-104, October.
    2. Suzanne G. M. Fifield & David G. McMillan & Fiona J. McMillan, 2020. "Is there a risk and return relation?," The European Journal of Finance, Taylor & Francis Journals, vol. 26(11), pages 1075-1101, July.
    3. Frazier, David T. & Liu, Xiaochun, 2016. "A new approach to risk-return trade-off dynamics via decomposition," Journal of Economic Dynamics and Control, Elsevier, vol. 62(C), pages 43-55.
    4. Liu, Jingzhen, 2019. "Impacts of lagged returns on the risk-return relationship of Chinese aggregate stock market: Evidence from different data frequencies," Research in International Business and Finance, Elsevier, vol. 48(C), pages 243-257.
    5. Naqi Shah, Sadia & Qayyum, Abdul, 2016. "Analyse Risk-Return Paradox: Evidence from Electricity Sector of Pakistan," MPRA Paper 68783, University Library of Munich, Germany.
    6. Dimitrios Koutmos & James E. Payne, 2021. "Intertemporal asset pricing with bitcoin," Review of Quantitative Finance and Accounting, Springer, vol. 56(2), pages 619-645, February.
    7. Jyri Kinnunen & Minna Martikainen, 2017. "Dynamic Autocorrelation and International Portfolio Allocation," Multinational Finance Journal, Multinational Finance Journal, vol. 21(1), pages 21-48, March.
    8. Zied Ftiti & Fredj Jawadi & Waël Louhichi, 2017. "Modelling the relationship between future energy intraday volatility and trading volume with wavelet," Applied Economics, Taylor & Francis Journals, vol. 49(20), pages 1981-1993, April.
    9. Fredj Jawadi & Waël Louhichi & Abdoulkarim Idi Cheffou & Rivo Randrianarivony, 2016. "Intraday jumps and trading volume: a nonlinear Tobit specification," Review of Quantitative Finance and Accounting, Springer, vol. 47(4), pages 1167-1186, November.
    10. Kinnunen, Jyri & Martikainen, Minna, 2015. "Expected returns and idiosyncratic risk: Industry-level evidence from Russia," BOFIT Discussion Papers 30/2015, Bank of Finland Institute for Emerging Economies (BOFIT).
    11. Ma, Chaoqun & Mi, Xianhua & Cai, Zongwu, 2020. "Nonlinear and time-varying risk premia," China Economic Review, Elsevier, vol. 62(C).
    12. Kinnunen, Jyri, 2013. "Dynamic return predictability in the Russian stock market," Emerging Markets Review, Elsevier, vol. 15(C), pages 107-121.
    13. Liu, Zhicao & Ye, Yong & Ma, Feng & Liu, Jing, 2017. "Can economic policy uncertainty help to forecast the volatility: A multifractal perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 482(C), pages 181-188.
    14. Tan, Zhengxun & Xiao, Binuo & Huang, Yilong & Zhou, Li, 2021. "Value at risk and return in Chinese and the US stock markets: Double long memory and fractional cointegration," The North American Journal of Economics and Finance, Elsevier, vol. 56(C).
    15. Kinnunen, Jyri, 2017. "Dynamic cross-autocorrelation in stock returns," Journal of Empirical Finance, Elsevier, vol. 40(C), pages 162-173.

  3. Kinnunen, Jyri, 2013. "Dynamic return predictability in the Russian stock market," Emerging Markets Review, Elsevier, vol. 15(C), pages 107-121.

    Cited by:

    1. Xue, Wen-Jun & Zhang, Li-Wen, 2017. "Stock return autocorrelations and predictability in the Chinese stock market—Evidence from threshold quantile autoregressive models," Economic Modelling, Elsevier, vol. 60(C), pages 391-401.
    2. Narayan, Paresh Kumar & Narayan, Seema & Thuraisamy, Kannan Sivananthan, 2014. "Can institutions and macroeconomic factors predict stock returns in emerging markets?," Emerging Markets Review, Elsevier, vol. 19(C), pages 77-95.
    3. Manuel Hoffmann & Matthias Neuenkirch, 2017. "The pro-Russian conflict and its impact on stock returns in Russia and the Ukraine," International Economics and Economic Policy, Springer, vol. 14(1), pages 61-73, January.
    4. Teplova, Tamara V. & Rodina, Victoria A., 2016. "Does stock exchange consolidation improve market liquidity? A study of stock exchange acquisition in Russia," Research in International Business and Finance, Elsevier, vol. 37(C), pages 375-390.
    5. Berezinets, I.V. & Bulatova, L.A. & Ilina, Y.B. & Smirnov, M.V., 2015. "Stock market reaction to dividend surprises: Evidence from Russia," Working Papers 6427, Graduate School of Management, St. Petersburg State University.
    6. Jyri Kinnunen & Minna Martikainen, 2017. "Dynamic Autocorrelation and International Portfolio Allocation," Multinational Finance Journal, Multinational Finance Journal, vol. 21(1), pages 21-48, March.
    7. Wen-Jun Xue & Li-Wen Zhang, 2016. "Stock Return Autocorrelations and Predictability in the Chinese Stock Market: Evidence from Threshold Quantile Autoregressive Models," Working Papers 1605, Florida International University, Department of Economics.
    8. Shi, Huai-Long & Zhou, Wei-Xing, 2017. "Wax and wane of the cross-sectional momentum and contrarian effects: Evidence from the Chinese stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 486(C), pages 397-407.
    9. Hong, Hui & Chen, Naiwei & O’Brien, Fergal & Ryan, James, 2018. "Stock return predictability and model instability: Evidence from mainland China and Hong Kong," The Quarterly Review of Economics and Finance, Elsevier, vol. 68(C), pages 132-142.
    10. Oksana Kim, 2016. "Market Efficiency and Arbitrage Opportunities for Russian Depositary Receipts Cross-Listed on the London Stock Exchange," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 19(02), pages 1-36, June.
    11. Shanaev, Savva & Ghimire, Binam, 2019. "Is all politics local? Regional political risk in Russia and the panel of stock returns," Journal of Behavioral and Experimental Finance, Elsevier, vol. 21(C), pages 70-82.

More information

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Statistics

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-CIS: Confederation of Independent States (1) 2016-06-04
  2. NEP-RMG: Risk Management (1) 2016-06-04
  3. NEP-TRA: Transition Economics (1) 2016-06-04

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