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Birger Nilsson

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Personal Details

First Name:Birger
Middle Name:
Last Name:Nilsson
Suffix:
RePEc Short-ID:pni227
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Affiliation

Nationalekonomiska Institutionen
Ekonomihögskolan
Lunds Universitet

Lund, Sweden
http://www.nek.lu.se/
RePEc:edi:delunse (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Chapters

Working papers

  1. Green, Rikard & Larsson, Karl & Lunina, Veronika & Nilsson, Birger, 2016. "Cross-Commodity News Transmission and Volatility Spillovers in the German Energy Markets," Working Papers 2016:2, Lund University, Department of Economics, revised 11 Oct 2017.
  2. Richard G. Anderson & Jane M. Binner & Björn Hagströmer & Birger Nilsson, 2013. "Does commonality in illiquidity matter to investors?," Working Papers 2013-020, Federal Reserve Bank of St. Louis.
  3. Ding, Mingfa & Nilsson, Birger & Suardi, Sandy, 2013. "Foreign Institutional Investors and Stock Market Liquidity in China: State Ownership, Trading Activity and Information Asymmetry," Working Papers 2013:10, Lund University, Department of Economics, revised 11 Jun 2013.
  4. Hagströmer, Björn & Nilsson, Birger & Hansson, Björn, 2011. "The components of the illiquidity premium: An empirical analysis of U.S. stocks 1927-2010," Working Papers 2011:24, Lund University, Department of Economics.
  5. Richard G. Anderson & Jane M. Binner & Björn Hagströmer & Birger Nilsson, 2009. "Dynamics in systematic liquidity," Working Papers 2009-025, Federal Reserve Bank of St. Louis.
  6. Wlaslowski, Szymon & Binner, Jane & Guiletti, Monica & Joseph, Nathan & Nilsson, Birger, 2007. "New York mark-ups on petroleum products," Working Papers 2008:2, Lund University, Department of Economics.
  7. Richard G. Anderson & Jane M. Binner & Thomas Elger & Björn Hagströmer & Birger Nilsson, 2007. "Mean-variance vs. full-scale optimization: broad evidence for the U.K," Working Papers 2007-016, Federal Reserve Bank of St. Louis.
  8. Jane M. Binner & C. Thomas Elger & Barry E. Jones & Birger Nilsson, 2006. "Forecasting Inflation: the Relevance of Higher Moments," Computing in Economics and Finance 2006 407, Society for Computational Economics.
  9. Nilsson, Birger & Hansson, Björn, 2004. "A Two-State Capital Asset Pricing Model with Unobservable States," Working Papers 2004:28, Lund University, Department of Economics.
  10. Graflund, Andreas & Nilsson, Birger, 2002. "Dynamic Portfolio Selection: The Relevance of Switching Regimes and Investment Horizon," Working Papers 2002:8, Lund University, Department of Economics.
  11. Nilsson, Birger, 2002. "Financial Liberalization and the Changing Characteristics of Nordic Stock Returns," Working Papers 2002:4, Lund University, Department of Economics.
  12. Nilsson, Birger, 2002. "International Asset Pricing and the Benefits from World Market Diversification," Working Papers 2002:1, Lund University, Department of Economics.

Articles

  1. Green, Rikard & Larsson, Karl & Lunina, Veronika & Nilsson, Birger, 2018. "Cross-commodity news transmission and volatility spillovers in the German energy markets," Journal of Banking & Finance, Elsevier, vol. 95(C), pages 231-243.
  2. Mingfa Ding & Birger Nilsson & Sandy Suardi, 2017. "Foreign Institutional Investment, Ownership, and Liquidity: Real and Informational Frictions," The Financial Review, Eastern Finance Association, vol. 52(1), pages 101-144, February.
  3. Hagströmer, Björn & Hansson, Björn & Nilsson, Birger, 2013. "The components of the illiquidity premium: An empirical analysis of US stocks 1927–2010," Journal of Banking & Finance, Elsevier, vol. 37(11), pages 4476-4487.
  4. Szymon Wlazlowski & Birger Nilsson & Jane Binner & Monica Giulietti & Nathan Joseph, 2012. "New York Mark‐Ups On Petroleum Products," Manchester School, University of Manchester, vol. 80(2), pages 145-171, March.
  5. Jane Binner & Thomas Elger & Barry Jones & Birger Nilsson, 2010. "Inflation forecasting, relative price variability and skewness," Applied Economics Letters, Taylor & Francis Journals, vol. 17(6), pages 593-596.
  6. Björn Hagströmer & Richard G. Anderson & Jane M. Binner & Thomas Elger & Birger Nilsson, 2008. "Mean–Variance Versus Full‐Scale Optimization: Broad Evidence For The Uk," Manchester School, University of Manchester, vol. 76(s1), pages 134-156, September.
  7. Elger, Thomas & Jones, Barry E. & Nilsson, Birger, 2006. "Forecasting with Monetary Aggregates: Recent Evidence for the United States," Journal of Economics and Business, Elsevier, vol. 58(5-6), pages 428-446.
  8. Binner, Jane M. & Elger, C. Thomas & Nilsson, Birger & Tepper, Jonathan A., 2006. "Predictable non-linearities in U.S. inflation," Economics Letters, Elsevier, vol. 93(3), pages 323-328, December.
  9. Andreas Graflund & Birger Nilsson, 2003. "Dynamic Portfolio Selection: the Relevance of Switching Regimes and Investment Horizon," European Financial Management, European Financial Management Association, vol. 9(2), pages 179-200, June.

Chapters

  1. Jane M. Binner & Thomas Elger & Birger Nilsson & Jonathan A. Tepper, 2004. "Tools For Non-Linear Time Series Forecasting In Economics – An Empirical Comparison Of Regime Switching Vector Autoregressive Models And Recurrent Neural Networks," Advances in Econometrics, in: Applications of Artificial Intelligence in Finance and Economics, pages 71-91, Emerald Group Publishing Limited.

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. Green, Rikard & Larsson, Karl & Lunina, Veronika & Nilsson, Birger, 2016. "Cross-Commodity News Transmission and Volatility Spillovers in the German Energy Markets," Working Papers 2016:2, Lund University, Department of Economics, revised 11 Oct 2017.

    Cited by:

    1. Zhu, Zongyuan & Luo, Qingtian, 2023. "Inter-industry risk spillover, role reversal, and economic stability," Finance Research Letters, Elsevier, vol. 57(C).
    2. Isleimeyyeh, Mohammad, 2025. "Financial investors and cross-commodity markets integration," Journal of Commodity Markets, Elsevier, vol. 38(C).
    3. Tsuji, Chikashi, 2020. "Correlation and spillover effects between the US and international banking sectors: New evidence and implications for risk management," International Review of Financial Analysis, Elsevier, vol. 70(C).
    4. Yan, Wan-Lin & Cheung, Adrian (Wai Kong), 2025. "Quantile connectedness among climate policy uncertainty, news sentiment, oil and renewables in China," Research in International Business and Finance, Elsevier, vol. 76(C).
    5. Yan Lu & Xu Yang & Yixiang Ma & Lean Yu, 2022. "Rebound Effect of China’s Electric Power Demand in the Context of Technological Innovation," Sustainability, MDPI, vol. 14(14), pages 1-18, July.
    6. Mehdi Mili & Jean‐Michel Sahut & Frédéric Teulon, 2020. "Shift‐contagion in energy markets and global crisis," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(5), pages 725-736, August.
    7. Samitas, Aristeidis & Kampouris, Elias & Polyzos, Stathis, 2022. "Covid-19 pandemic and spillover effects in stock markets: A financial network approach," International Review of Financial Analysis, Elsevier, vol. 80(C).
    8. Saleh Mothana Obadi & Matej Korcek, 2020. "Driving Fundamentals of Natural Gas Price in Europe," International Journal of Energy Economics and Policy, Econjournals, vol. 10(6), pages 318-324.
    9. Chen, Hao & Xu, Chao & Peng, Yun, 2022. "Time-frequency connectedness between energy and nonenergy commodity markets during COVID-19: Evidence from China," Resources Policy, Elsevier, vol. 78(C).
    10. Coskun, Merve & Taspinar, Nigar, 2022. "Volatility spillovers between Turkish energy stocks and fossil fuel energy commodities based on time and frequency domain approaches," Resources Policy, Elsevier, vol. 79(C).
    11. Vellachami, Sanggetha & Hasanov, Akram Shavkatovich & Brooks, Robert, 2023. "Risk transmission from the energy markets to the carbon market: Evidence from the recursive window approach," International Review of Financial Analysis, Elsevier, vol. 89(C).
    12. Tanin, Tauhidul Islam & Hasanov, Akram Shavkatovich & Shaiban, Mohammed Sharaf Mohsen & Brooks, Robert, 2022. "Risk transmission from the oil market to Islamic and conventional banks in oil-exporting and oil-importing countries," Energy Economics, Elsevier, vol. 115(C).
    13. Gao, Wang & Wei, Jiajia & Zhang, Hongwei & Zhang, Haizhen, 2024. "Does climate policy uncertainty exacerbate extreme risk spillovers between green economy and energy metals?," Resources Policy, Elsevier, vol. 91(C).
    14. Li, Jie & Smallwood, Aaron D., 2025. "The evolution of the relationship between onshore and offshore RMB markets under asymmetric volatility spillovers," Global Finance Journal, Elsevier, vol. 65(C).
    15. Chiappari, Mattia & Scotti, Francesco & Flori, Andrea, 2024. "Market responses to spillovers in the energy commodity markets: Evaluating short-term vs. long-term effects and business-as-usual vs. distressed phases," International Review of Financial Analysis, Elsevier, vol. 96(PB).
    16. Zhao, Lili & Wen, Fenghua & Wang, Xiong, 2020. "Interaction among China carbon emission trading markets: Nonlinear Granger causality and time-varying effect," Energy Economics, Elsevier, vol. 91(C).
    17. Ben Amar, Amine & Goutte, Stéphane & Isleimeyyeh, Mohammad, 2022. "Asymmetric cyclical connectedness on the commodity markets: Further insights from bull and bear markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 85(C), pages 386-400.
    18. Lai T. Hoang & Dirk G. Baur, 2021. "Spillovers and Asset Allocation," JRFM, MDPI, vol. 14(8), pages 1-31, July.
    19. Sun, Tao & Zhang, Heng-Guo, 2025. "Does carbon news influence carbon prices?–Taking China's carbon market as an example," Energy, Elsevier, vol. 333(C).
    20. Tiantian Liu & Xie He & Tadahiro Nakajima & Shigeyuki Hamori, 2020. "Influence of Fluctuations in Fossil Fuel Commodities on Electricity Markets: Evidence from Spot and Futures Markets in Europe," Energies, MDPI, vol. 13(8), pages 1-20, April.

  2. Richard G. Anderson & Jane M. Binner & Björn Hagströmer & Birger Nilsson, 2013. "Does commonality in illiquidity matter to investors?," Working Papers 2013-020, Federal Reserve Bank of St. Louis.

    Cited by:

    1. Martin Hoesli & Anjeza Kadilli & Kustrim Reka, 2017. "Commonality in Liquidity and Real Estate Securities," The Journal of Real Estate Finance and Economics, Springer, vol. 55(1), pages 65-105, July.
    2. Beyene, Nardos & Huang, Peng & Hueng, C. James, 2021. "Illiquidity contagion and pricing of commonality risk: Evidence from a dynamic conditional correlation model," Finance Research Letters, Elsevier, vol. 39(C).

  3. Ding, Mingfa & Nilsson, Birger & Suardi, Sandy, 2013. "Foreign Institutional Investors and Stock Market Liquidity in China: State Ownership, Trading Activity and Information Asymmetry," Working Papers 2013:10, Lund University, Department of Economics, revised 11 Jun 2013.

    Cited by:

    1. Rogers Ondiba Ochenge & Rose Ngugi & Peter Muriu & David McMillan, 2020. "Foreign equity flows and stock market liquidity in Kenya," Cogent Economics & Finance, Taylor & Francis Journals, vol. 8(1), pages 1781503-178, January.
    2. Dr Samamba, Lennox Trivedi, PhD—Law, 2023. "Legal Aspects of Promoting the Participation of Collective Investment Schemes in Eastern and Southern African Frontier Securities Markets," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 7(4), pages 121-141, April.
    3. Hadeel Yaseen & Ghassan Omet & Morad Abdel-Halim, 2015. "The 2008 Global Financial Crisis: The Case of a Market with Consistent Losses Ever Since," Eurasian Journal of Business and Management, Eurasian Publications, vol. 3(1), pages 8-19.
    4. Jia Jia Hing & Yee Peng Chow, 2022. "Influence of institutional investor heterogeneity on stock liquidity and its underlying liquidity channels," International Journal of Business and Emerging Markets, Inderscience Enterprises Ltd, vol. 14(3), pages 252-278.
    5. Peranginangin, Yessy & Ali, Akbar Z. & Brockman, Paul & Zurbruegg, Ralf, 2016. "The impact of foreign trades on emerging market liquidity," Pacific-Basin Finance Journal, Elsevier, vol. 40(PA), pages 1-16.
    6. Alderighi, Stefano & Cleary, Siobhan & Varanasi, Padmasai, 2018. "The determinants of cross-border portfolio equity flows: new evidence from emerging markets," Economics Discussion Papers 23310, University of Essex, Department of Economics.
    7. Alderighi, Stefano & Cleary, Siobhan & Varanasi, Padmasai, 2019. "Do institutional factors influence cross-border portfolio equity flows? New evidence from emerging markets," Journal of International Money and Finance, Elsevier, vol. 99(C).
    8. Ijaz Ur Rehman & Nurul Shahnaz Mahdzan & Rozaimah Zainudin, 2016. "Is the relationship between macroeconomy and stock market liquidity mutually reinforcing? Evidence from an emerging market," International Journal of Monetary Economics and Finance, Inderscience Enterprises Ltd, vol. 9(3), pages 294-316.
    9. Stefano Alderighi, 2017. "A note on how to enhance liquidity in emerging markets by levering on trading participants," Economics Bulletin, AccessEcon, vol. 37(4), pages 2526-2532.

  4. Hagströmer, Björn & Nilsson, Birger & Hansson, Björn, 2011. "The components of the illiquidity premium: An empirical analysis of U.S. stocks 1927-2010," Working Papers 2011:24, Lund University, Department of Economics.

    Cited by:

    1. An, Jiyoun & Ho, Kin-Yip & Zhang, Zhaoyong, 2020. "What drives the liquidity premium in the Chinese stock market?," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    2. Amihud, Yakov & Hameed, Allaudeen & Kang, Wenjin & Zhang, Huiping, 2015. "The illiquidity premium: International evidence," Journal of Financial Economics, Elsevier, vol. 117(2), pages 350-368.
    3. Saad, Mohsen & Samet, Anis, 2017. "Liquidity and the implied cost of equity capital," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 51(C), pages 15-38.
    4. Saad, Mohsen & Samet, Anis, 2015. "Pricing, dynamics, and determinants of illiquidity risks: International evidence," Emerging Markets Review, Elsevier, vol. 23(C), pages 124-147.
    5. Syeda Hina Zaidi & Nousheen Tariq Bhutta, 2021. "Liquidity Synchronization and Asset Valuation in Selected Emerging Asian Economies," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 11(6), pages 488-500.
    6. Paul, Thomas & Aryoubi, Abdullah & Walther, Thomas, 2025. "Reassessing the Illiquidity-Return Relationship: Evidence from Germany, the UK, and the U.S," International Review of Financial Analysis, Elsevier, vol. 106(C).
    7. Su, Zhi & Lyu, Tongtong & Yin, Libo, 2022. "Are conditional illiquidity risks priced in China? A cross-sectional test," International Review of Financial Analysis, Elsevier, vol. 81(C).
    8. Wu, Ying, 2019. "Asset pricing with extreme liquidity risk," Journal of Empirical Finance, Elsevier, vol. 54(C), pages 143-165.
    9. Beyene, Nardos & Huang, Peng & Hueng, C. James, 2021. "Illiquidity contagion and pricing of commonality risk: Evidence from a dynamic conditional correlation model," Finance Research Letters, Elsevier, vol. 39(C).
    10. Hsieh, Hui-Ching & Nguyen, Van Quoc Thinh, 2021. "Economic policy uncertainty and illiquidity return premium," The North American Journal of Economics and Finance, Elsevier, vol. 55(C).
    11. Belkhir, Mohamed & Saad, Mohsen & Samet, Anis, 2020. "Stock extreme illiquidity and the cost of capital," Journal of Banking & Finance, Elsevier, vol. 112(C).
    12. Amihud, Yakov & Noh, Joonki, 2021. "The pricing of the illiquidity factor’s conditional risk with time-varying premium," Journal of Financial Markets, Elsevier, vol. 56(C).
    13. Isshaq, Zangina & Faff, Robert, 2016. "Does the uncertainty of firm-level fundamentals help explain cross-sectional differences in liquidity commonality?," Journal of Banking & Finance, Elsevier, vol. 68(C), pages 153-161.

  5. Richard G. Anderson & Jane M. Binner & Thomas Elger & Björn Hagströmer & Birger Nilsson, 2007. "Mean-variance vs. full-scale optimization: broad evidence for the U.K," Working Papers 2007-016, Federal Reserve Bank of St. Louis.

    Cited by:

    1. de Farias Neto, Joao Jose, 2008. "S-shaped utility, subprime crash and the black swan," MPRA Paper 12122, University Library of Munich, Germany.
    2. David Johnstone & Dennis Lindley, 2013. "Mean-Variance and Expected Utility: The Borch Paradox," Papers 1306.2728, arXiv.org.
    3. Michael J. Best & Xili Zhang, 2011. "Degeneracy Resolution for Bilinear Utility Functions," Journal of Optimization Theory and Applications, Springer, vol. 150(3), pages 615-634, September.
    4. George Yungchih Wang, 2012. "Evaluating an Investment Project in an Incomplete Market," The Review of Finance and Banking, Academia de Studii Economice din Bucuresti, Romania / Facultatea de Finante, Asigurari, Banci si Burse de Valori / Catedra de Finante, vol. 4(1), pages 055-073, June.

  6. Nilsson, Birger & Hansson, Björn, 2004. "A Two-State Capital Asset Pricing Model with Unobservable States," Working Papers 2004:28, Lund University, Department of Economics.

    Cited by:

    1. Nandini Srivastava & Stephen Satchell, 2012. "Are There Bubbles in the Art Market? The Detection of Bubbles when Fair Value is Unobservable," Birkbeck Working Papers in Economics and Finance 1209, Birkbeck, Department of Economics, Mathematics & Statistics.

  7. Graflund, Andreas & Nilsson, Birger, 2002. "Dynamic Portfolio Selection: The Relevance of Switching Regimes and Investment Horizon," Working Papers 2002:8, Lund University, Department of Economics.

    Cited by:

    1. Kole, H.J.W.G. & Koedijk, C.G. & Verbeek, M.J.C.M., 2004. "The effects of systemic crises when investors can be crisis ignorant," ERIM Report Series Research in Management ERS-2004-027-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    2. Kung, James J., 2009. "A two-asset stochastic model for long-term portfolio selection," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(10), pages 3089-3098.
    3. Anna Battauz & Alessandro Sbuelz, 2018. "Non†myopic portfolio choice with unpredictable returns: The jump†to†default case," European Financial Management, European Financial Management Association, vol. 24(2), pages 192-208, March.
    4. John Powell & Rubén Roa & Jing Shi & Viliphonh Xayavong, 2007. "A Test for Long-Term Cyclical Clustering of Stock Market Regimes," Australian Journal of Management, Australian School of Business, vol. 32(2), pages 205-221, December.
    5. Weiwei Shen, 2025. "Optimal Investment and Risk Control for An Insurer in A Jump-diffusion Market with Regime-switching," Methodology and Computing in Applied Probability, Springer, vol. 27(4), pages 1-29, December.
    6. Campani, Carlos Heitor & Garcia, René & Lewin, Marcelo, 2021. "Optimal portfolio strategies in the presence of regimes in asset returns," Journal of Banking & Finance, Elsevier, vol. 123(C).
    7. Levy, Moshe & Kaplanski, Guy, 2015. "Portfolio selection in a two-regime world," European Journal of Operational Research, Elsevier, vol. 242(2), pages 514-524.
    8. Buckley, Ian & Saunders, David & Seco, Luis, 2008. "Portfolio optimization when asset returns have the Gaussian mixture distribution," European Journal of Operational Research, Elsevier, vol. 185(3), pages 1434-1461, March.
    9. Fischer, Andreas & Greminger, Rafael P. & Grisse, Christian & Kaufmann, Sylvia, 2021. "Portfolio rebalancing in times of stress," CEPR Discussion Papers 15777, Centre for Economic Policy Research.
    10. Xie, Shuxiang, 2009. "Continuous-time mean-variance portfolio selection with liability and regime switching," Insurance: Mathematics and Economics, Elsevier, vol. 45(1), pages 148-155, August.
    11. Jan Bulla & Sascha Mergner & Ingo Bulla & André Sesboüé & Christophe Chesneau, 2011. "Markov-switching asset allocation: Do profitable strategies exist?," Journal of Asset Management, Palgrave Macmillan, vol. 12(5), pages 310-321, November.
    12. Marcelo Lewin & Carlos Heitor Campani, 2023. "Constrained portfolio strategies in a regime-switching economy," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 37(1), pages 27-59, March.
    13. Daniel Giamouridis & Athanasios Sakkas & Nikolaos Tessaromatis, 2017. "Dynamic Asset Allocation with Liabilities," European Financial Management, European Financial Management Association, vol. 23(2), pages 254-291, March.
    14. Bulla, Jan & Mergner, Sascha & Bulla, Ingo & Sesboüé, André & Chesneau, Christophe, 2010. "Markov-switching Asset Allocation: Do Profitable Strategies Exist?," MPRA Paper 21154, University Library of Munich, Germany.
    15. Hendriks, Johannes Jurgens & Bonga-Bonga, Lumengo, 2020. "Sectoral dependence and contagion in the BRICS grouping: an application of the R-Vine copulas," MPRA Paper 102473, University Library of Munich, Germany.
    16. David McCarthy & David Miles, 2013. "Optimal Portfolio Allocation for Corporate Pension Funds," European Financial Management, European Financial Management Association, vol. 19(3), pages 599-629, June.
    17. Manuel Ammann & Michael Verhofen, 2006. "The Effect of Market Regimes on Style Allocation," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 20(3), pages 309-337, September.
    18. Douglas Cumming & Lars Helge Haß & Denis Schweizer, 2014. "Strategic Asset Allocation and the Role of Alternative Investments," European Financial Management, European Financial Management Association, vol. 20(3), pages 521-547, June.
    19. Kole, Erik & Koedijk, Kees & Verbeek, Marno, 2006. "Portfolio implications of systemic crises," Journal of Banking & Finance, Elsevier, vol. 30(8), pages 2347-2369, August.

  8. Nilsson, Birger, 2002. "Financial Liberalization and the Changing Characteristics of Nordic Stock Returns," Working Papers 2002:4, Lund University, Department of Economics.

    Cited by:

    1. Batra, Amit, 2004. "Stock return volatility patterns in India," Indian Council for Research on International Economic Relations, New Delhi Working Papers 124, Indian Council for Research on International Economic Relations, New Delhi, India.
    2. Panicos Demetriades & Michaeil Karoglou & Siong Hook Law, 2007. "Financial Liberalisation and Breaks in Stock Market Volatility: Evidence from East Asia," Money Macro and Finance (MMF) Research Group Conference 2006 162, Money Macro and Finance Research Group.
    3. Alexius, Annika, 2004. "Far Out on the Yield Curve," Working Paper Series 2004:12, Uppsala University, Department of Economics.

  9. Nilsson, Birger, 2002. "International Asset Pricing and the Benefits from World Market Diversification," Working Papers 2002:1, Lund University, Department of Economics.

    Cited by:

    1. Jaroslava HLOUSKOVA & Kurt SCHMIDHEINY & Martin WAGNER, 2004. "Multistep Predictions for Multivariate GARCH Models: Closed Form Solution and the Value for Portfolio Management," Cahiers de Recherches Economiques du Département d'économie 04.10, Université de Lausanne, Faculté des HEC, Département d’économie.
    2. Jaroslava Hlouskova & Kurt Schmidheiny & Martin Wagner, 2002. "Multistep Predictions from Multivariate ARMA-GARCH: Models and their Value for Portfolio Management," Diskussionsschriften dp0212, Universitaet Bern, Departement Volkswirtschaft.
    3. Mohamed El Hedi Arouri, 2005. "Intégration financière et diversification internationale des portefeuilles," Économie et Prévision, Programme National Persée, vol. 168(2), pages 115-132.
    4. AROURI Mohamed El Hedi, 2004. "The Impact of Increasing Stock Market Integration on Expected Gains from International Portfolio Diversification: Evidence from a Multivariate Approach with Time Varying Risk," Economics Bulletin, AccessEcon, vol. 6(3), pages 1-13.
    5. Nicholas Lawrence Samouilhan, 2007. "The Price Of Risk In The South African Equity Market," South African Journal of Economics, Economic Society of South Africa, vol. 75(3), pages 442-458, September.
    6. Nabamita Dutta, 2012. "Effect of the Political Regime on Asset Returns in Emerging Markets: An Empirical Investigation," South Asian Journal of Macroeconomics and Public Finance, , vol. 1(1), pages 135-156, June.
    7. Sébastien Wälti, 2003. "Testing for contagion in international financial markets: which way to go?," IHEID Working Papers 04-2003, Economics Section, The Graduate Institute of International Studies.

Articles

  1. Green, Rikard & Larsson, Karl & Lunina, Veronika & Nilsson, Birger, 2018. "Cross-commodity news transmission and volatility spillovers in the German energy markets," Journal of Banking & Finance, Elsevier, vol. 95(C), pages 231-243.
    See citations under working paper version above.
  2. Mingfa Ding & Birger Nilsson & Sandy Suardi, 2017. "Foreign Institutional Investment, Ownership, and Liquidity: Real and Informational Frictions," The Financial Review, Eastern Finance Association, vol. 52(1), pages 101-144, February.

    Cited by:

    1. Bao Trung Hoang & Cesario Mateus, 2024. "How does liberalization affect emerging stock markets? Theories and empirical evidence," Journal of Economic Surveys, Wiley Blackwell, vol. 38(3), pages 877-898, July.
    2. Fujun Lai & Qiong Wu & Deping Xiong & Sha Zhu, 2024. "How Foreign Institutional Investors’ Ownership Affects Stock Liquidity? Evidence from China," SAGE Open, , vol. 14(2), pages 21582440241, June.
    3. Xie, Linyin, 2025. "Stock illiquidity and economic policy uncertainty in Chinese security market," Research in International Business and Finance, Elsevier, vol. 78(C).
    4. Chia, Yee-Ee & Lim, Kian-Ping & Goh, Kim-Leng, 2020. "More shareholders, higher liquidity? Evidence from an emerging stock market," Emerging Markets Review, Elsevier, vol. 44(C).
    5. Rajvanshi, Vivek & Sahoo, Gouri Sankar & Bansal, Avijit, 2025. "Internationalization: The impact of commodity futures market expansion on market quality," Pacific-Basin Finance Journal, Elsevier, vol. 94(C).
    6. Chaudhry, Neeru & Gupta, Aastha, 2024. "Impact of using derivatives on stock market liquidity," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 97(C).
    7. Ke Xu & Xinwei Zheng & Deng Pan & Li Xing & Xuekui Zhang, 2020. "Stock Market Openness And Market Quality: Evidence From The Shanghai–Hong Kong Stock Connect Program," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 43(2), pages 373-406, May.
    8. John Ben Prince, 2021. "Ownership Characteristics,Corporate Social Responsibility, Resource Productivity And Firm Performance: An Empirical Study," Indian Journal of Corporate Governance, , vol. 14(1), pages 71-85, June.
    9. Zhang, Ping & Sha, Yezhou & Wang, Yu & Wang, Tewei, 2022. "Capital market opening and stock price crash risk – Evidence from the Shanghai-Hong Kong stock connect and the Shenzhen-Hong Kong stock connect," Pacific-Basin Finance Journal, Elsevier, vol. 76(C).
    10. Ding, Mingfa & Suardi, Sandy, 2019. "Government ownership and stock liquidity: Evidence from China," Emerging Markets Review, Elsevier, vol. 40(C), pages 1-1.
    11. Ma, Rui & Anderson, Hamish D. & Marshall, Ben R., 2018. "Stock market liquidity and trading activity: Is China different?," International Review of Financial Analysis, Elsevier, vol. 56(C), pages 32-51.
    12. Bin Fang & Xinming Liu & Chen Ma & Yusang Zhuo, 2023. "Blockchain technology adoption and accounting information quality," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(4), pages 4125-4156, December.
    13. Yijie Li & Jianghui Liu & Haizhi Wang & Peng Wang, 2021. "Stock market liberalization, foreign institutional investors, and informational efficiency of stock prices: Evidence from an emerging market," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 5451-5471, October.
    14. Luo, Ronghua & Zhao, Senyang & Zhou, Jing, 2023. "Information network, public disclosure and asset prices," Pacific-Basin Finance Journal, Elsevier, vol. 77(C).
    15. Xu Cheng & Dongmin Kong & Xinwei Zheng & Qi Tang, 2022. "Do foreign investors crowd out sell‐side analysts? Evidence from China," The Financial Review, Eastern Finance Association, vol. 57(4), pages 815-834, November.
    16. Zhuo, Qianyun & Liu, Xiaoli, 2025. "Cross-listing versus QFIIs: Foreign investors heterogeneity and stock price crash risk," Finance Research Letters, Elsevier, vol. 85(PB).
    17. Li, Songsong & Xu, Hao & Sercu, Piet & Xu, Nan & Xu, Yiwa, 2025. "The role of international and domestic investors in international market information spillover effects: Evidence from interconnected multilayer networks," The North American Journal of Economics and Finance, Elsevier, vol. 80(C).
    18. Fan, John Hua & Fernandez-Perez, Adrian & Indriawan, Ivan & Todorova, Neda, 2020. "Internationalization of futures markets: Lessons from China," Pacific-Basin Finance Journal, Elsevier, vol. 63(C).
    19. Lee, Jieun & Ryu, Doojin, 2019. "How does FX liquidity affect the relationship between foreign ownership and stock liquidity?," Emerging Markets Review, Elsevier, vol. 39(C), pages 101-119.
    20. Mehmet Benturk, 2025. "Causality Nexus Between Volatility, Liquidity and Foreign Ownership: Evidence from Borsa Istanbul," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 23(3), pages 763-783, September.

  3. Hagströmer, Björn & Hansson, Björn & Nilsson, Birger, 2013. "The components of the illiquidity premium: An empirical analysis of US stocks 1927–2010," Journal of Banking & Finance, Elsevier, vol. 37(11), pages 4476-4487.
    See citations under working paper version above.
  4. Jane Binner & Thomas Elger & Barry Jones & Birger Nilsson, 2010. "Inflation forecasting, relative price variability and skewness," Applied Economics Letters, Taylor & Francis Journals, vol. 17(6), pages 593-596.

    Cited by:

    1. Sartaj Rasool Rather & Sunil Paul & S. Raja Sethu Durai, 2015. "Inflation forecasting and the distribution of price changes," Economics Bulletin, AccessEcon, vol. 35(1), pages 226-232.
    2. Job Nmadu & Ezekiel Yisa & Usman Mohammed & Halima Sallawu & Yebosoko Nmadu & Sokoyami Nmadu, 2022. "Structural Analysis and Forecast of Nigerian Monthly Inflation Movement between 1996 and 2022," RAIS Conference Proceedings 2022-2026 0211, Research Association for Interdisciplinary Studies.

  5. Björn Hagströmer & Richard G. Anderson & Jane M. Binner & Thomas Elger & Birger Nilsson, 2008. "Mean–Variance Versus Full‐Scale Optimization: Broad Evidence For The Uk," Manchester School, University of Manchester, vol. 76(s1), pages 134-156, September.

    Cited by:

    1. David Johnstone & Dennis Lindley, 2013. "Mean-Variance and Expected Utility: The Borch Paradox," Papers 1306.2728, arXiv.org.
    2. Kassimatis, Konstantinos, 2021. "Mean-variance versus utility maximization revisited: The case of constant relative risk aversion," International Review of Financial Analysis, Elsevier, vol. 78(C).

  6. Elger, Thomas & Jones, Barry E. & Nilsson, Birger, 2006. "Forecasting with Monetary Aggregates: Recent Evidence for the United States," Journal of Economics and Business, Elsevier, vol. 58(5-6), pages 428-446.

    Cited by:

    1. Rakesh K. Bissoondeeal & Michail Karoglou & Alicia M. Gazely, 2011. "Forecasting The Uk/Us Exchange Rate With Divisia Monetary Models And Neural Networks," Scottish Journal of Political Economy, Scottish Economic Society, vol. 58(1), pages 127-152, February.
    2. Richard G. Anderson & Barry E. Jones, 2011. "A comprehensive revision of the U.S. monetary services (divisia) indexes," Review, Federal Reserve Bank of St. Louis, vol. 93(Sep), pages 325-360.
    3. Emrah I. Cevik & Sel Dibooglu & Max Gillman & Szilard Benk, 2025. "Granger predictability of real oil prices by us money and inflation in Markov-switching regimes," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 15(1), pages 29-52, March.
    4. Binner, J.M. & Tino, P. & Tepper, J. & Anderson, R. & Jones, B. & Kendall, G., 2010. "Does money matter in inflation forecasting?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(21), pages 4793-4808.
    5. Chin-Hong, Puah & Lee-Chea, Hiew, 2010. "Financial Liberalization, Weighted Monetary Aggregates and Money Demand in Indonesia," MPRA Paper 31731, University Library of Munich, Germany.
    6. Jones, Barry E. & Fleissig, Adrian R. & Elger, Thomas & Dutkowsky, Donald H., 2008. "Retail sweep programs and monetary asset substitution," Economics Letters, Elsevier, vol. 99(1), pages 159-163, April.
    7. Periklis Gogas & Theophilos Papadimitriou & Elvira Takli, 2013. "Comparison of simple sum and Divisia monetary aggregates in GDP forecasting: a support vector machines approach," Economics Bulletin, AccessEcon, vol. 33(2), pages 1101-1115.
    8. Elger, C. Thomas & Jones, Barry E. & Edgerton, David L. & Binner, Jane M., 2008. "A Note On The Optimal Level Of Monetary Aggregation In The United Kingdom," Macroeconomic Dynamics, Cambridge University Press, vol. 12(1), pages 117-131, February.
    9. Binner, Jane M. & Bissoondeeal, Rakesh K. & Elger, C. Thomas & Jones, Barry E. & Mullineux, Andrew W., 2009. "Admissible monetary aggregates for the euro area," Journal of International Money and Finance, Elsevier, vol. 28(1), pages 99-114, February.
    10. Shahid IQBAL & Maqbool H. SIAL, 2016. "Projections of Inflation Dynamics for Pakistan: GMDH Approach," Journal of Economics and Political Economy, KSP Journals, vol. 3(3), pages 536-559, September.
    11. Shahid IQBAL & Maqbool H. SIAL, 2016. "Projections of Inflation Dynamics for Pakistan: GMDH Approach," Journal of Economics and Political Economy, EconSciences Journals, vol. 3(3), pages 536-559, September.

  7. Binner, Jane M. & Elger, C. Thomas & Nilsson, Birger & Tepper, Jonathan A., 2006. "Predictable non-linearities in U.S. inflation," Economics Letters, Elsevier, vol. 93(3), pages 323-328, December.

    Cited by:

    1. Elger, Thomas & Jones, Barry E. & Nilsson, Birger, 2006. "Forecasting with Monetary Aggregates: Recent Evidence for the United States," Journal of Economics and Business, Elsevier, vol. 58(5-6), pages 428-446.
    2. Macias, Paweł & Stelmasiak, Damian & Szafranek, Karol, 2023. "Nowcasting food inflation with a massive amount of online prices," International Journal of Forecasting, Elsevier, vol. 39(2), pages 809-826.
    3. Tölö, Eero, 2020. "Predicting systemic financial crises with recurrent neural networks," Journal of Financial Stability, Elsevier, vol. 49(C).
    4. Zhang, Lingxiang, 2013. "Modeling China's inflation dynamics: An MRSTAR approach," Economic Modelling, Elsevier, vol. 31(C), pages 440-446.
    5. Tea Šestanović & Josip Arnerić, 2021. "Can Recurrent Neural Networks Predict Inflation in Euro Zone as Good as Professional Forecasters?," Mathematics, MDPI, vol. 9(19), pages 1-13, October.
    6. Binner, J.M. & Tino, P. & Tepper, J. & Anderson, R. & Jones, B. & Kendall, G., 2010. "Does money matter in inflation forecasting?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(21), pages 4793-4808.
    7. Tea Šestanović & Josip Arnerić, 2021. "Neural network structure identification in inflation forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(1), pages 62-79, January.
    8. Arnerić Josip & Poklepović Tea & Teai Juin Wen, 2018. "Neural Network Approach in Forecasting Realized Variance Using High-Frequency Data," Business Systems Research, Sciendo, vol. 9(2), pages 18-34, July.
    9. Emrah Çevik & Erdal Atukeren & Turhan Korkmaz, 2013. "Nonlinearity and nonstationarity in international art market prices: evidence from Markov-switching ADF unit root tests," Empirical Economics, Springer, vol. 45(2), pages 675-695, October.
    10. Szafranek, Karol, 2019. "Bagged neural networks for forecasting Polish (low) inflation," International Journal of Forecasting, Elsevier, vol. 35(3), pages 1042-1059.
    11. Marcos Álvarez-Díaz & Rangan Gupta, 2015. "Forecasting the US CPI: Does Nonlinearity Matter?," Working Papers 201512, University of Pretoria, Department of Economics.
    12. Antonio N. Bojanic, 2021. "A Markov-Switching Model of Inflation in Bolivia," Economies, MDPI, vol. 9(1), pages 1-18, March.

  8. Andreas Graflund & Birger Nilsson, 2003. "Dynamic Portfolio Selection: the Relevance of Switching Regimes and Investment Horizon," European Financial Management, European Financial Management Association, vol. 9(2), pages 179-200, June.
    See citations under working paper version above.

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 8 papers 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-FMK: Financial Markets (2) 2002-02-15 2002-03-14
  2. NEP-UPT: Utility Models and Prospect Theory (2) 2007-06-23 2008-01-26
  3. NEP-CBA: Central Banking (1) 2006-07-15
  4. NEP-CNA: China (1) 2013-06-16
  5. NEP-ECM: Econometrics (1) 2006-07-15
  6. NEP-ENE: Energy Economics (1) 2016-02-17
  7. NEP-ETS: Econometric Time Series (1) 2006-07-15
  8. NEP-FOR: Forecasting (1) 2006-07-15
  9. NEP-MAC: Macroeconomics (1) 2006-07-15
  10. NEP-MON: Monetary Economics (1) 2006-07-15
  11. NEP-PKE: Post Keynesian Economics (1) 2002-02-15
  12. NEP-REG: Regulation (1) 2016-02-17
  13. NEP-RMG: Risk Management (1) 2004-12-12
  14. NEP-TRA: Transition Economics (1) 2013-06-16

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