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Laurent E. Calvet

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.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Laurent E. Calvet & John Y. Campbell & Paolo Sodini, 2009. "Measuring the Financial Sophistication of Households," NBER Working Papers 14699, National Bureau of Economic Research, Inc.

    Mentioned in:

    1. What households are financially sophisticated?
      by Economic Logician in Economic Logic on 2009-02-13 20:16:00
    2. Measuring the Financial Sophistication of Households
      by Liam Delaney in Geary Behaviour Centre on 2009-02-16 04:21:00
    3. Measuring the Financial Sophistication of Households
      by Liam Delaney in Geary Behaviour Centre on 2009-05-18 17:04:00

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Laurent E. Calvet & John Y. Campbell & Paolo Sodini, 2007. "Down or Out: Assessing the Welfare Costs of Household Investment Mistakes," Journal of Political Economy, University of Chicago Press, vol. 115(5), pages 707-747, October.

    Mentioned in:

    1. Down or Out: Assessing the Welfare Costs of Household Investment Mistakes (JPE 2007) in ReplicationWiki ()

Working papers

  1. Calvet, Laurent E. & Campbell, John Y & Gomes, Francisco & Sodini, Paolo, 2021. "The Cross-Section of Household Preferences," CEPR Discussion Papers 16105, C.E.P.R. Discussion Papers.

    Cited by:

    1. Olivier Armantier & Jérôme Foncel & Nicolas Treich, 2023. "Insurance and portfolio decisions: Two sides of the same coin?," Post-Print hal-04062463, HAL.
    2. Hong, Claire Yurong & Lu, Xiaomeng & Pan, Jun, 2021. "FinTech adoption and household risk-taking," BOFIT Discussion Papers 14/2021, Bank of Finland Institute for Emerging Economies (BOFIT).
    3. Yoontae Hwang & Yongjae Lee & Frank J. Fabozzi, 2023. "Identifying household finance heterogeneity via deep clustering," Annals of Operations Research, Springer, vol. 325(2), pages 1255-1289, June.
    4. Surico, Paolo & Andreolli, Michele, 2021. "Less is More: Consumer Spending and the Size of Economic Stimulus Payments," CEPR Discussion Papers 15918, C.E.P.R. Discussion Papers.
    5. Cristiano Cantore & Filippo Ferroni & Haroon Mumtaz & Angeliki Theophilopoulou, 2023. "A tail of labor supply and a tale of monetary policy," Discussion Papers 2308, Centre for Macroeconomics (CFM).
    6. Kraft, Holger & Munk, Claus & Weiss, Farina, 2022. "Bequest motives in consumption-portfolio decisions with recursive utility," Journal of Banking & Finance, Elsevier, vol. 138(C).
    7. Anne G. Balter & Nikolaus Schweizer, 2021. "Robust Decisions for Heterogeneous Agents via Certainty Equivalents," Papers 2106.13059, arXiv.org.
    8. Ichiro Muto & Fumitaka Nakamura & Makoto Nirei, 2024. "Digitalization, Entrepreneurship, and Wealth Inequality," IMES Discussion Paper Series 24-E-01, Institute for Monetary and Economic Studies, Bank of Japan.
    9. Christina D. Romer & David H. Romer, 2021. "A Social Insurance Perspective on Pandemic Fiscal Policy: Implications for Unemployment Insurance and Hazard Pay," NBER Working Papers 29419, National Bureau of Economic Research, Inc.
    10. St-Amour, Pascal, 2024. "Valuing life over the life cycle," Journal of Health Economics, Elsevier, vol. 93(C).
    11. Richard Foltyn & Jonna Olsson, 2021. "Subjective Life Expectancies, Time Preference Heterogeneity, and Wealth Inequality," Working Papers 2021_13, Business School - Economics, University of Glasgow.
    12. Pierre-Edouard Collignon, 2021. "No Regret Fiscal Reforms," Working Papers 2021-20, Center for Research in Economics and Statistics.

  2. Calvet, Laurent E. & Célérier, Claire & Vallee, Boris, 2020. "Can Security Design Foster Household Risk-Taking?," CEPR Discussion Papers 14955, C.E.P.R. Discussion Papers.

    Cited by:

    1. Hong, Claire Yurong & Lu, Xiaomeng & Pan, Jun, 2021. "FinTech adoption and household risk-taking," BOFIT Discussion Papers 14/2021, Bank of Finland Institute for Emerging Economies (BOFIT).
    2. Haliassos, Michael & Jansson, Thomas & Karabulut, Yigitcan, 2022. "Wealth Inequality: Opportunity or Unfairness?," CEPR Discussion Papers 17237, C.E.P.R. Discussion Papers.
    3. Farkas, Miklós & Váradi, Kata, 2021. "Do leveraged warrants prompt individuals to speculate on stock price reversals?," Journal of Empirical Finance, Elsevier, vol. 63(C), pages 164-176.
    4. Hombert, Johan & Möhlmann, Axel & Weiß, Matthias, 2021. "Inter-cohort risk sharing with long-term guarantees: Evidence from German participating contracts," Discussion Papers 10/2021, Deutsche Bundesbank.
    5. Bianchi, Milo & Brière, Marie, 2021. "Human-Robot Interactions in Investment Decisions," TSE Working Papers 21-1251, Toulouse School of Economics (TSE), revised Mar 2024.
    6. Buss, Adrian & Vilkov, Grigory & Uppal, Raman, 2020. "Investor Sophistication and Portfolio Dynamics," CEPR Discussion Papers 15116, C.E.P.R. Discussion Papers.
    7. Merkoulova, Yulia & Veld, Chris, 2022. "Stock return ignorance," Journal of Financial Economics, Elsevier, vol. 144(3), pages 864-884.

  3. Calvet, Laurent E. & Betermier, Sebastien & Jo, Evan, 2019. "A Supply and Demand Approach to Equity Pricing," CEPR Discussion Papers 13974, C.E.P.R. Discussion Papers.

    Cited by:

    1. Christopher Hrdlicka, 2022. "Trading Volume and Time Varying Betas [Alpha or beta in the eye of the beholder: what drives hedge fund flows?]," Review of Finance, European Finance Association, vol. 26(1), pages 79-116.

  4. Calvet, Laurent E. & Bach, Laurent, 2016. "Rich Pickings? Risk, Return, and Skill in the Portfolios of the Wealthy," CEPR Discussion Papers 11734, C.E.P.R. Discussion Papers.

    Cited by:

    1. Per Krusell & Anthony Smith & Joachim Hubmer, 2015. "The historical evolution of the wealth distribution: A quantitative-theoretic investigation," 2015 Meeting Papers 1406, Society for Economic Dynamics.
    2. Campbell, John Y., 2016. "Restoring rational choice: The challenge of consumer financial regulation," Working Paper Series 1897, European Central Bank.
    3. Asen Ivanov, 2021. "Optimal pension plan default policies when employees are biased," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 23(3), pages 583-596, June.
    4. Khieu, Hoang & Wälde, Klaus, 2018. "Capital Income Risk and the Dynamics of the Wealth Distribution," IZA Discussion Papers 11840, Institute of Labor Economics (IZA).
    5. Andreas Fagereng & Luigi Guiso & Luigi Pistaferri & Davide Malacrino, 2019. "Heterogeneity and persistence in returns to wealth," Discussion Papers 912, Statistics Norway, Research Department.
    6. Kraft, Holger & Munk, Claus & Weiss, Farina, 2019. "Predictors and portfolios over the life cycle," Journal of Banking & Finance, Elsevier, vol. 100(C), pages 1-27.
    7. Kacperczyk, Marcin & Nosal, Jaromir & Stevens, Luminita, 2018. "Investor Sophistication and Capital Income Inequality," CEPR Discussion Papers 12870, C.E.P.R. Discussion Papers.
    8. Marius Brülhart & Jonathan Gruber & Matthias Krapf & Kurt Schmidheiny, 2022. "Behavioral Responses to Wealth Taxes: Evidence from Switzerland," American Economic Journal: Economic Policy, American Economic Association, vol. 14(4), pages 111-150, November.
    9. Hubar, Sylwia & Koulovatianos, Christos & Li, Jian, 2020. "The role of labor-income risk in household risk-taking?," CFS Working Paper Series 640, Center for Financial Studies (CFS).
    10. Philippe De Donder & John E. Roemer, 2017. "The dynamics of capital accumulation in the US: simulations after piketty," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 15(2), pages 121-141, June.
    11. Calvet, Laurent-Emmanuel & Grandmont, Jean-Michel & Lemaire, Isabelle, 2018. "Aggregation of heterogenous beliefs, asset pricing, and risk sharing in complete financial markets," Research in Economics, Elsevier, vol. 72(1), pages 117-146.
    12. Òscar Jordà & Katharina Knoll & Dmitry Kuvshinov & Moritz Schularick & Alan M Taylor, 2019. "The Rate of Return on Everything, 1870–2015," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(3), pages 1225-1298.
    13. Matthew Smith & Owen Zidar & Eric Zwick, 2020. "Top Wealth in America: New Estimates and Implications for Taxing the Rich," Working Papers 264, Princeton University, Department of Economics, Center for Economic Policy Studies..
    14. Kartik B. Athreya & Felicia Ionescu & Urvi Neelakantan & Ivan Vidangos, 2019. "Who Values Access to College?," Finance and Economics Discussion Series 2019-015, Board of Governors of the Federal Reserve System (U.S.).
    15. Mariacristina De Nardi & Giulio Fella, 2017. "Saving and Wealth Inequality," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 26, pages 280-300, October.
    16. Lundberg, Jacob & Waldenström, Daniel, 2016. "Wealth Inequality in Sweden: What Can We Learn from Capitalized Income Tax Data?," Working Paper Series 1131, Research Institute of Industrial Economics.
    17. Luigi Guiso & Tullio Jappelli, 2020. "Investment in Financial Information and Portfolio Performance," Economica, London School of Economics and Political Science, vol. 87(348), pages 1133-1170, October.
    18. Matthias Krapf, 2018. "The Joint Distribution of Wealth and Income Risk: Evidence from Bern," CESifo Working Paper Series 7130, CESifo.
    19. Matthieu Gomez, 2017. "Asset Prices and Wealth Inequality," 2017 Meeting Papers 1155, Society for Economic Dynamics.
    20. Kaymak, Barıș & Leung, David & Poschke, Markus, 2020. "Accounting for Wealth Concentration in the US," IZA Discussion Papers 13082, Institute of Labor Economics (IZA).
    21. Buss, Adrian & Vilkov, Grigory & Uppal, Raman, 2018. "The Implications of Financial Innovation for Capital Markets and Household Welfare," CEPR Discussion Papers 13137, C.E.P.R. Discussion Papers.
    22. Samuel Forbes & Stefan Grosskinsky, 2021. "A Study of UK Household Wealth through Empirical Analysis and a Non-linear Kesten Process," Papers 2107.02169, arXiv.org.
    23. Jess Benhabib & Alberto Bisin, 2016. "Skewed Wealth Distributions: Theory and Empirics," NBER Working Papers 21924, National Bureau of Economic Research, Inc.
    24. Schmidheiny, Kurt & Brülhart, Marius & Gruber, Jonathan & Krapf, Matthias, 2016. "Taxing Wealth: Evidence from Switzerland," CEPR Discussion Papers 11342, C.E.P.R. Discussion Papers.
    25. Kartik Athreya & Felicia Ionescu & Ivan Vidangos & Urvi Neelakantan, 2018. "Investment Opportunities and Economic Outcomes: Who Benefits From College and the Stock Market?," 2018 Meeting Papers 1151, Society for Economic Dynamics.
    26. Corneo, Giacomo, 2017. "Ein Staatsfonds, der eine soziale Dividende finanziert," Discussion Papers 2017/13, Free University Berlin, School of Business & Economics.
    27. Lee, Jangyoun, 2021. "Behind rising inequality and falling growth," Journal of Macroeconomics, Elsevier, vol. 70(C).
    28. Jesse Bricker & Kevin B. Moore & Jeffrey P. Thompson, 2019. "Trends in Household Portfolio Composition," Finance and Economics Discussion Series 2019-069, Board of Governors of the Federal Reserve System (U.S.).
    29. Fischer, Thomas, 2019. "Determinants of Wealth Inequality and Mobility in General Equilibrium," Working Papers 2019:22, Lund University, Department of Economics.
    30. Elin Halvorsen & Thor Olav Thoresen, 2017. "Distributional Effects of the Wealth Tax under a Lifetime-Dynastic Income Concept," CESifo Working Paper Series 6614, CESifo.
    31. Scott R. Baker & Lorenz Kueng & Steffen Meyer & Michaela Pagel, 2018. "Measurement Error in Imputed Consumption," NBER Working Papers 25078, National Bureau of Economic Research, Inc.
    32. Xiaomeng Lu & Jiaojiao Guo & Hailing Zhou, 2021. "Digital financial inclusion development, investment diversification, and household extreme portfolio risk," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(5), pages 6225-6261, December.
    33. Florentsen, Bjarne & Nielsson, Ulf & Raahauge, Peter & Rangvid, Jesper, 2020. "Turning local: Home-bias dynamics of relocating foreigners," Journal of Empirical Finance, Elsevier, vol. 58(C), pages 436-452.
    34. David Gallusser & Matthias Krapf, 2019. "Joint Income-Wealth Inequality: An Application Using Administrative Tax Data," CESifo Working Paper Series 7876, CESifo.

  5. Laurent E. Calvet & Veronika Czellar, 2015. "Accurate Methods for Approximate Bayesian Computation Filtering," Post-Print hal-02313212, HAL.

    Cited by:

    1. Gael M. Martin & David T. Frazier & Christian P. Robert, 2022. "Computing Bayes: From Then `Til Now," Monash Econometrics and Business Statistics Working Papers 14/22, Monash University, Department of Econometrics and Business Statistics.
    2. Gael M. Martin & Brendan P.M. McCabe & David T. Frazier & Worapree Maneesoonthorn & Christian P. Robert, 2016. "Auxiliary Likelihood-Based Approximate Bayesian Computation in State Space Models," Monash Econometrics and Business Statistics Working Papers 09/16, Monash University, Department of Econometrics and Business Statistics.
    3. Gael M. Martin & David T. Frazier & Christian P. Robert, 2020. "Computing Bayes: Bayesian Computation from 1763 to the 21st Century," Monash Econometrics and Business Statistics Working Papers 14/20, Monash University, Department of Econometrics and Business Statistics.
    4. Jean-Jacques Forneron & Serena Ng, 2015. "The ABC of Simulation Estimation with Auxiliary Statistics," Papers 1501.01265, arXiv.org, revised Oct 2017.
    5. Gael M. Martin & David T. Frazier & Worapree Maneesoonthorn & Ruben Loaiza-Maya & Florian Huber & Gary Koop & John Maheu & Didier Nibbering & Anastasios Panagiotelis, 2022. "Bayesian Forecasting in Economics and Finance: A Modern Review," Papers 2212.03471, arXiv.org, revised Jul 2023.
    6. Gael M. Martin & David T. Frazier & Ruben Loaiza-Maya & Florian Huber & Gary Koop & John Maheu & Didier Nibbering & Anastasios Panagiotelis, 2023. "Bayesian Forecasting in the 21st Century: A Modern Review," Monash Econometrics and Business Statistics Working Papers 1/23, Monash University, Department of Econometrics and Business Statistics.
    7. Michael Creel & Dennis Kristensen, 2014. "ABC of SV: Limited Information Likelihood Inference in Stochastic Volatility Jump-Diffusion Models," CREATES Research Papers 2014-30, Department of Economics and Business Economics, Aarhus University.
    8. Gael M. Martin & David T. Frazier & Christian P. Robert, 2021. "Approximating Bayes in the 21st Century," Monash Econometrics and Business Statistics Working Papers 24/21, Monash University, Department of Econometrics and Business Statistics.

  6. Calvet , Laurent & Betermier , Sebastien, 2014. "Who Are the Value and Growth Investors?," HEC Research Papers Series 1043, HEC Paris.

    Cited by:

    1. Jieying Li & Xin Zhang, 2018. "House Prices, Home Equity, and Personal Debt Composition," 2018 Meeting Papers 661, Society for Economic Dynamics.
    2. Baltzer, Markus & Jank, Stephan & Smajlbegovic, Esad, 2019. "Who trades on momentum?," Journal of Financial Markets, Elsevier, vol. 42(C), pages 56-74.
    3. Martin Lettau & Sydney C. Ludvigson & Sai Ma, 2019. "Capital Share Risk in U.S. Asset Pricing," Journal of Finance, American Finance Association, vol. 74(4), pages 1753-1792, August.
    4. Amariei, Cosmina, 2020. "Asset Allocation in Europe: Reality vs. Expectations," ECMI Papers 27304, Centre for European Policy Studies.
    5. Zou, Jing & Deng, Xiaojun, 2019. "Financial literacy, housing value and household financial market participation: Evidence from urban China," China Economic Review, Elsevier, vol. 55(C), pages 52-66.
    6. Ye, Zihan & Post, Thomas, 2020. "What age do you feel? – Subjective age identity and economic behaviors," Journal of Economic Behavior & Organization, Elsevier, vol. 173(C), pages 322-341.
    7. Jing Jian Xiao & Chunsheng Tao, 2020. "Consumer finance/household finance: the definition and scope," China Finance Review International, Emerald Group Publishing Limited, vol. 11(1), pages 1-25, June.
    8. Massa, Massimo & Simonov, Andrei & Stenkrona, Anders, 2015. "Style representation and portfolio choice," Journal of Financial Markets, Elsevier, vol. 23(C), pages 1-25.
    9. Bali, Turan G. & Gunaydin, A. Doruk & Jansson, Thomas & Karabulut, Yigitcan, 2023. "Do the rich gamble in the stock market? Low risk anomalies and wealthy households," Journal of Financial Economics, Elsevier, vol. 150(2).
    10. Ibert, Markus, 2023. "What do mutual fund managers’ private portfolios tell us about their skills?," Journal of Financial Intermediation, Elsevier, vol. 53(C).
    11. Robert Snigaroff & David Wroblewski, 2023. "Consumption with earnings, liquidity, and market based models," Review of Quantitative Finance and Accounting, Springer, vol. 60(2), pages 501-530, February.
    12. Xinxin Ma, 2022. "Medical Insurances and Financial Portfolio Choice," Springer Books, in: Public Medical Insurance Reforms in China, chapter 0, pages 193-215, Springer.
    13. Bhaskar Chhimwal & Varadraj Bapat, 2021. "Comparative Study of Momentum and Contrarian Behavior of Different Investors: Evidence from the Indian Market," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 28(1), pages 19-53, March.
    14. Ralf Bebenroth & Kashif Ahmed, 2021. "Japanese firms' overpayments for cross‐border acquisitions," International Finance, Wiley Blackwell, vol. 24(2), pages 257-273, August.
    15. James J. Choi & Adriana Z. Robertson, 2018. "What Matters to Individual Investors? Evidence from the Horse’s Mouth," NBER Working Papers 25019, National Bureau of Economic Research, Inc.
    16. Calvet, Laurent E. & Betermier, Sebastien & Jo, Evan, 2019. "A Supply and Demand Approach to Equity Pricing," CEPR Discussion Papers 13974, C.E.P.R. Discussion Papers.
    17. Munk, Claus, 2020. "A mean-variance benchmark for household portfolios over the life cycle," Journal of Banking & Finance, Elsevier, vol. 116(C).
    18. Svetlana Bender & James J. Choi & Danielle Dyson & Adriana Z. Robertson, 2020. "Millionaires Speak: What Drives Their Personal Investment Decisions?," NBER Working Papers 27969, National Bureau of Economic Research, Inc.
    19. Lettau, Martin & Ludvigson, Sydney & Ma, Sai, 2015. "Capital Share Risk and Shareholder Heterogeneity in U.S. Stock Pricing," CEPR Discussion Papers 10335, C.E.P.R. Discussion Papers.
    20. Vo, Xuan Vinh & Truong, Quang Binh, 2018. "Does momentum work? Evidence from Vietnam stock market," Journal of Behavioral and Experimental Finance, Elsevier, vol. 17(C), pages 10-15.
    21. Korniotis, George & Bonaparte, Yosef & Kumar, Alok, 2020. "Income Risk and Stock Market Entry/Exit Decisions," CEPR Discussion Papers 15370, C.E.P.R. Discussion Papers.
    22. John H Cochrane, 2022. "Portfolios for Long-Term Investors [Rare disasters and asset markets in the twentieth century]," Review of Finance, European Finance Association, vol. 26(1), pages 1-42.
    23. Anna Jędrzychowska, 2022. "A Bridge Life Insurance for Households—Diagnosis and Motives," Risks, MDPI, vol. 10(4), pages 1-21, April.
    24. Enrichetta Ravina, 2023. "Retail Investors’ Contrarian Behavior Around News, Attention, and the Momentum Effect," Working Paper Series WP 2023-34, Federal Reserve Bank of Chicago.
    25. Junjun Ma & Xindan Li & Lei Lu & Weixing Wu & Xiong Xiong, 2022. "Individual investors' dispersion in beliefs and stock returns," Financial Management, Financial Management Association International, vol. 51(3), pages 929-953, September.
    26. Lee, Kiryoung, 2023. "Geopolitical risk and household stock market participation," Finance Research Letters, Elsevier, vol. 51(C).
    27. Christopher Hrdlicka, 2022. "Trading Volume and Time Varying Betas [Alpha or beta in the eye of the beholder: what drives hedge fund flows?]," Review of Finance, European Finance Association, vol. 26(1), pages 79-116.
    28. Vimal Balasubramaniam & John Y. Campbell & Tarun Ramadorai & Benjamin Ranish, 2023. "Who Owns What? A Factor Model for Direct Stockholding," Journal of Finance, American Finance Association, vol. 78(3), pages 1545-1591, June.
    29. Xinxin Ma, 2022. "Social Insurances and Risky Financial Market Participation: Evidence from China," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 58(10), pages 2957-2975, August.
    30. Luciano Somoza & Antoine Didisheim, 2022. "The End of the Crypto-Diversification Myth," Swiss Finance Institute Research Paper Series 22-53, Swiss Finance Institute.
    31. Christiansen, Charlotte & Jansson, Thomas & Kallestrup-Lamb, Malene & Noren, Vicke, 2023. "Households' investments in socially responsible mutual funds," The Quarterly Review of Economics and Finance, Elsevier, vol. 87(C), pages 46-67.
    32. Qi Liu & Lei Lu & Bo Sun & Hongjun Yan, 2015. "A Model of Anomaly Discovery," International Finance Discussion Papers 1128, Board of Governors of the Federal Reserve System (U.S.).
    33. Guillaume Coqueret, 2022. "Characteristics-driven returns in equilibrium," Papers 2203.07865, arXiv.org.
    34. Spyros I. Spyrou, 2020. "Valuation ratio style investing and economic sentiment: evidence from major Eurozone markets," Review of Quantitative Finance and Accounting, Springer, vol. 55(3), pages 827-856, October.
    35. Cronqvist, Henrik & Siegel, Stephan & Yu, Frank, 2015. "Value versus growth investing: Why do different investors have different styles?," Journal of Financial Economics, Elsevier, vol. 117(2), pages 333-349.
    36. Teodoras Medaiskis & Tadas Gudaitis & Jaroslav Mečkovski, 2018. "Second pension pillar participants' behaviour: the Lithuanian case," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 6(2), pages 620-635, December.
    37. Hohyun Kim & Kyoung T. Kim & Seung H. Han, 2021. "Religious differences and households' investment decisions," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 44(4), pages 753-788, December.
    38. Jang, Bosung & So, Inhwan & Tong, Eric, 2023. "US structural drivers of international portfolio returns," The North American Journal of Economics and Finance, Elsevier, vol. 64(C).

  7. Calvet , Laurent & Czellar, Veronika, 2013. "Through the Looking Glass: Indirect Inference via Simple Equilibria," HEC Research Papers Series 1048, HEC Paris.

    Cited by:

    1. Claude Bergeron & Tov Assogbavi & Jean-pierre Gueyie, 2020. "Conditional capital asset pricing model, long-run risk, and stock valuation," Economics Bulletin, AccessEcon, vol. 40(1), pages 77-86.
    2. Grammig, Joachim & Küchlin, Eva-Maria, 2017. "A two-step indirect inference approach to estimate the long-run risk asset pricing model," CFR Working Papers 17-01, University of Cologne, Centre for Financial Research (CFR).
    3. Lynda Khalaf & Beatriz Peraza López, 2020. "Simultaneous Indirect Inference, Impulse Responses and ARMA Models," Econometrics, MDPI, vol. 8(2), pages 1-26, April.
    4. Gael M. Martin & Brendan P.M. McCabe & David T. Frazier & Worapree Maneesoonthorn & Christian P. Robert, 2016. "Auxiliary Likelihood-Based Approximate Bayesian Computation in State Space Models," Monash Econometrics and Business Statistics Working Papers 09/16, Monash University, Department of Econometrics and Business Statistics.
    5. Forneron, Jean-Jacques, 2024. "Detecting identification failure in moment condition models," Journal of Econometrics, Elsevier, vol. 238(1).
    6. Czellar, Veronika & Frazier, David T. & Renault, Eric, 2022. "Approximate maximum likelihood for complex structural models," Journal of Econometrics, Elsevier, vol. 231(2), pages 432-456.
    7. Grammig, Joachim & Küchlin, Eva-Maria, 2018. "A two-step indirect inference approach to estimate the long-run risk asset pricing model," Journal of Econometrics, Elsevier, vol. 205(1), pages 6-33.
    8. Lee, Minjoon, 2023. "Portfolio allocation over the life cycle with multiple late-in-life saving motives," Journal of Empirical Finance, Elsevier, vol. 74(C).
    9. Jules Tinang & Nour Meddahi, 2016. "GMM estimation of the Long Run Risks model," 2016 Meeting Papers 1107, Society for Economic Dynamics.
    10. Veronika Czellar & David T. Frazier & Eric Renault, 2020. "Approximate Maximum Likelihood for Complex Structural Models," Papers 2006.10245, arXiv.org.
    11. David T. Frazier & Eric Renault, 2016. "Indirect Inference With(Out) Constraints," Papers 1607.06163, arXiv.org, revised Aug 2019.
    12. Alperovych, Yan & Cumming, Douglas & Czellar, Veronika & Groh, Alexander, 2021. "M&A rumors about unlisted firms," Journal of Financial Economics, Elsevier, vol. 142(3), pages 1324-1339.
    13. Czellar, Veronika & Frazier, David T. & Renault, Eric, 2021. "Approximate Maximum Likelihood for Complex Structural Models," The Warwick Economics Research Paper Series (TWERPS) 1337, University of Warwick, Department of Economics.
    14. Grammig, Joachim & Küchlin, Eva-Maria, 2017. "A two-step indirect inference approach to estimate the long-run risk asset pricing model," CFS Working Paper Series 572, Center for Financial Studies (CFS).

  8. Calvet , Laurent E. & Fearnley, Marcus & Adlai J. , Fisher & Markus, Leippold, 2013. "What's Beneath the Surface? Option Pricing with Multifrequency Latent States," HEC Research Papers Series 969, HEC Paris.

    Cited by:

    1. Godin, Frédéric & Trottier, Denis-Alexandre, 2021. "Option pricing in regime-switching frameworks with the Extended Girsanov Principle," Insurance: Mathematics and Economics, Elsevier, vol. 99(C), pages 116-129.
    2. Tilfani, Oussama & Kristoufek, Ladislav & Ferreira, Paulo & El Boukfaoui, My Youssef, 2022. "Heterogeneity in economic relationships: Scale dependence through the multivariate fractal regression," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 588(C).
    3. Arnaud Dufays & Maciej Augustyniak & Luc Bauwens, 2016. "A new approach to volatility modeling: the High-Dimensional Markov model," Cahiers de recherche 1609, Centre de recherche sur les risques, les enjeux économiques, et les politiques publiques.
    4. Chia-Lin Chang & Michael McAleer, 2014. "Econometric Analysis of Financial Derivatives: An Overview," Working Papers in Economics 14/29, University of Canterbury, Department of Economics and Finance.
    5. Lux, Thomas, 2013. "Exact solutions for the transient densities of continuous-time Markov switching models: With an application to the poisson multifractal model," Kiel Working Papers 1871, Kiel Institute for the World Economy (IfW Kiel).
    6. Augustyniak, Maciej & Badescu, Alexandru & Bégin, Jean-François, 2023. "A discrete-time hedging framework with multiple factors and fat tails: On what matters," Journal of Econometrics, Elsevier, vol. 232(2), pages 416-444.

  9. Laurent-Emmanuel Calvet, 2011. "Efficient estimation of learning models," Post-Print hal-00577831, HAL.

    Cited by:

    1. Lee, Sang Seok & Luk, Paul, 2018. "The Asian Financial Crisis and international reserve accumulation: A robust control approach," Journal of Economic Dynamics and Control, Elsevier, vol. 90(C), pages 284-309.

  10. Laurent E. Calvet & Veronika Czellar, 2011. "State-Observation Sampling and the Econometrics of Learning Models," Papers 1105.4519, arXiv.org.

    Cited by:

    1. Calvet, Laurent E. & Czellar, Veronika, 2015. "Through the looking glass: Indirect inference via simple equilibria," Journal of Econometrics, Elsevier, vol. 185(2), pages 343-358.
    2. Laurent E. Calvet & Veronika Czellar, 2015. "Accurate Methods for Approximate Bayesian Computation Filtering," Journal of Financial Econometrics, Oxford University Press, vol. 13(4), pages 798-838.

  11. Calvet, Laurent-Emmanuel & Sodini, Paolo, 2011. "Twin picks: disentangling the determinants of risk-taking in household portfolios," HEC Research Papers Series 948, HEC Paris.

    Cited by:

    1. Xu, Yilan & Briley, Daniel A. & Brown, Jeffrey R. & Roberts, Brent W., 2017. "Genetic and environmental influences on household financial distress," Journal of Economic Behavior & Organization, Elsevier, vol. 142(C), pages 404-424.
    2. Olivier Armantier & Jérôme Foncel & Nicolas Treich, 2023. "Insurance and portfolio decisions: Two sides of the same coin?," Post-Print hal-04062463, HAL.
    3. Luigi Guiso & Luana Zaccaria, 2023. "From Patriarchy to Partnership: Gender Equality and Household Finance," Working Papers Central Bank of Chile 968, Central Bank of Chile.
    4. Campbell, John Y., 2016. "Restoring rational choice: The challenge of consumer financial regulation," Working Paper Series 1897, European Central Bank.
    5. Hong, Claire Yurong & Lu, Xiaomeng & Pan, Jun, 2021. "FinTech adoption and household risk-taking," BOFIT Discussion Papers 14/2021, Bank of Finland Institute for Emerging Economies (BOFIT).
    6. Andreas Fagereng & Charles Gottlieb & Luigi Guiso, 2013. "Asset Market Participation and Portfolio Choice over the Life-Cycle," Economics Working Papers ECO2013/07, European University Institute.
    7. Kiichi Tokuoka, 2017. "Is stock investment contagious among siblings?," Empirical Economics, Springer, vol. 52(4), pages 1505-1528, June.
    8. Lukas Menkhoff & Sahra Sakha, 2016. "Determinants of Risk Aversion over Time: Experimental Evidence from Rural Thailand," Discussion Papers of DIW Berlin 1582, DIW Berlin, German Institute for Economic Research.
    9. Thomas Michielsen & Remco Mocking & Sander van Veldhuizen, 2015. "Home Ownership and Household Portfolio Choice," CPB Discussion Paper 318, CPB Netherlands Bureau for Economic Policy Analysis.
    10. Kaustia, Markku & Conlin, Andrew & Luotonen, Niilo, 2023. "What drives stock market participation? The role of institutional, traditional, and behavioral factors," Journal of Banking & Finance, Elsevier, vol. 148(C).
    11. Kárpáti, D.;, 2022. "Household Finance and Life-Cycle Economic Decisions under the Shadow of Cancer," Health, Econometrics and Data Group (HEDG) Working Papers 22/16, HEDG, c/o Department of Economics, University of York.
    12. Nicholas Apergis & Christos Bouras, 2023. "Household choices on investing in financial risky assets: Do national institutional factors have their own merit?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(1), pages 405-420, January.
    13. Katarzyna Kochaniak & Paweł Ulman, 2020. "Risk-Intolerant but Risk-Taking—Towards a Better Understanding of Inconsistent Survey Responses of the Euro Area Households," Sustainability, MDPI, vol. 12(17), pages 1-26, August.
    14. Yin, Zhichao & Liu, Jiayi & Wang, Yumeng, 2023. "Fertility policy and stock market participation: Evidence from the universal two-child policy in China," International Review of Financial Analysis, Elsevier, vol. 86(C).
    15. Brenner, Lukas & Meyll, Tobias & Stolper, Oscar & Walter, Andreas, 2020. "Consumer fraud victimization and financial well-being," Journal of Economic Psychology, Elsevier, vol. 76(C).
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    17. Daniel Paravisini & Veronica Rappoport & Enrichetta Ravina, 2017. "Risk Aversion and Wealth: Evidence from Person-to-Person Lending Portfolios," Management Science, INFORMS, vol. 63(2), pages 279-297, February.
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    49. Toda, Alexis Akira & Walsh, Kieran James, 2014. "The Equity Premium and the One Percent," MPRA Paper 79009, University Library of Munich, Germany, revised 28 Feb 2017.
    50. Andreas Oehler & Matthias Horn, 2021. "Behavioural portfolio theory revisited: lessons learned from the field," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(S1), pages 1743-1774, April.
    51. Betermier, Sebastien & Calvet, Laurent E. & Sodini, Paolo, 2014. "Who are the value and growth investors?," CFS Working Paper Series 455, Center for Financial Studies (CFS).
    52. E. Black, Sandra & Devereux, Paul & Lundborg, Petter & Majlesi, Kaveh, 2015. "On The Origins of Risk-Taking in Financial Markets," Knut Wicksell Working Paper Series 2015/7, Lund University, Knut Wicksell Centre for Financial Studies.
    53. Guiyuan Ma & Song-Ping Zhu & Boda Kang, 2020. "A Numerical Solution of Optimal Portfolio Selection Problem with General Utility Functions," Computational Economics, Springer;Society for Computational Economics, vol. 55(3), pages 957-981, March.
    54. Guiso, Luigi & Sodini, Paolo, 2013. "Household Finance: An Emerging Field," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 1397-1532, Elsevier.
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    62. Agostino Capponi & Sveinn Ólafsson & Thaleia Zariphopoulou, 2022. "Personalized Robo-Advising: Enhancing Investment Through Client Interaction," Management Science, INFORMS, vol. 68(4), pages 2485-2512, April.
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    65. Guiso, Luigi & Pistaferri, Luigi & Fagereng, Andreas & Blomhoff Holm, Martin, 2020. "K-Returns to Education," CEPR Discussion Papers 14310, C.E.P.R. Discussion Papers.
    66. Matthieu Gomez, 2017. "Asset Prices and Wealth Inequality," 2017 Meeting Papers 1155, Society for Economic Dynamics.
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    68. Andersen, Steffen & Hanspal, Tobin & Nielsen, Kasper Meisner, 2016. "Once Bitten, Twice Shy: The Role of Inertia and Personal Experiences in Risk Taking," CEPR Discussion Papers 11504, C.E.P.R. Discussion Papers.
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    71. Hamid Boustanifar & Edward J. Zajac & Flladina Zilja, 2022. "Taking chances? The effect of CEO risk propensity on firms’ risky internationalization decisions," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 53(2), pages 302-325, March.
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    74. Robert Calvert Jump, 2018. "Inequality And Aggregate Demand In The Is‐Lm And Is‐Mp Models," Bulletin of Economic Research, Wiley Blackwell, vol. 70(3), pages 269-276, July.
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    Cited by:

    1. Nicholas Apergis & Christos Bouras, 2023. "Household choices on investing in financial risky assets: Do national institutional factors have their own merit?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(1), pages 405-420, January.

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    1. Mohammad (Vahid) Irani & Hugh Hoikwang Kim, 2023. "The consequences of non‐trading institutional investors," Financial Management, Financial Management Association International, vol. 52(3), pages 433-481, September.
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    5. Christopher Roth & Johannes Wohlfart, 2020. "How Do Expectations about the Macroeconomy Affect Personal Expectations and Behavior?," The Review of Economics and Statistics, MIT Press, vol. 102(4), pages 731-748, October.
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    16. Kacperczyk, Marcin & Nosal, Jaromir & Stevens, Luminita, 2018. "Investor Sophistication and Capital Income Inequality," CEPR Discussion Papers 12870, C.E.P.R. Discussion Papers.
    17. Anagol, Santosh & Balasubramaniam, Vimal & Ramadorai, Tarun, 2021. "Learning from noise: Evidence from India’s IPO lotteries," Journal of Financial Economics, Elsevier, vol. 140(3), pages 965-986.
    18. Hsiao, Yu-Jen & Tsai, Wei-Che, 2018. "Financial literacy and participation in the derivatives markets," Journal of Banking & Finance, Elsevier, vol. 88(C), pages 15-29.
    19. Marcel Fratzscher, 2011. "Capital Flows, Push versus Pull Factors and the Global Financial Crisis," NBER Working Papers 17357, National Bureau of Economic Research, Inc.
    20. Byoungchan Lee, 2020. "Business Cycles and Earnings Inequality," HKUST CEP Working Papers Series 202001, HKUST Center for Economic Policy.
    21. Daniel Paravisini & Veronica Rappoport & Enrichetta Ravina, 2017. "Risk Aversion and Wealth: Evidence from Person-to-Person Lending Portfolios," Management Science, INFORMS, vol. 63(2), pages 279-297, February.
    22. Goulart, Marco & da Costa, Newton C.A. & Andrade, Eduardo B. & Santos, André A.P., 2015. "Hedging against embarrassment," Journal of Economic Behavior & Organization, Elsevier, vol. 116(C), pages 310-318.
    23. Margarida Abreu & Victor Mendes, 2011. "Information, Overconfidence and Trading: Do the Sources of Information Matter?," Working Papers Department of Economics 2011/25, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
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    1. Badarinza, Cristian & Campbell, John Y. & Ramadorai, Tarun, 2016. "International Comparative Household Finance," Scholarly Articles 27535132, Harvard University Department of Economics.
    2. Klapper, Leora & Lusardi, Annamaria & Panos, Georgios A., 2012. "Financial literacy and the financial crisis," Policy Research Working Paper Series 5980, The World Bank.
    3. Bucher-Koenen, Tabea & Ziegelmeyer, Michael, 2011. "Who lost the most? Financial literacy, cognitive abilities, and the financial crisis," Working Paper Series 1299, European Central Bank.

  15. Laurent-Emmanuel Calvet & John Y. Campbell & Paolo Sodini, 2009. "Measuring the Financial Sophistication of Households," Post-Print hal-00459687, HAL.

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    1. Olivier Armantier & Jérôme Foncel & Nicolas Treich, 2023. "Insurance and portfolio decisions: Two sides of the same coin?," Post-Print hal-04062463, HAL.
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    3. Candelon, Bertrand & Fuerst, Franz & Hasse, Jean-Baptiste, 2021. "Diversification Potential in Real Estate Portfolios," LIDAM Discussion Papers LFIN 2021001, Université catholique de Louvain, Louvain Finance (LFIN).
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    8. Bettina Chlond & Timo Goeschl & Martin Kesternich, 2022. "More Money or Better Procedures? Evidence from an Energy Efficiency Assistance Program," MAGKS Papers on Economics 202225, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
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    1. Bhamra, Harjoat Singh & Kuehn, Lars-Alexander & Strebulaev, Ilya, 2018. "The Levered Equity Risk Premium and Credit Spreads: A Unified Framework," CEPR Discussion Papers 12827, C.E.P.R. Discussion Papers.
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    4. Bekaert, Geert & Engstrom, Eric & Ermolov, Andrey, 2015. "Bad environments, good environments: A non-Gaussian asymmetric volatility model," Journal of Econometrics, Elsevier, vol. 186(1), pages 258-275.
    5. Hervé Crès & Tobias Markeprand & Mich Tvede, 2009. "Incomplete Financial Markets and Jumps in Asset Prices," Discussion Papers 09-12, University of Copenhagen. Department of Economics.
    6. Calvet, Laurent E. & Fearnley, Marcus & Fisher, Adlai J. & Leippold, Markus, 2015. "What is beneath the surface? Option pricing with multifrequency latent states," Journal of Econometrics, Elsevier, vol. 187(2), pages 498-511.
    7. Immonen, Eero, 2017. "Simple agent-based dynamical system models for efficient financial markets: Theory and examples," Journal of Mathematical Economics, Elsevier, vol. 69(C), pages 38-53.

  17. Laurent E. Calvet & Adlai Fisher, 2008. "Multifractal Volatility: Theory, Forecasting and Pricing," Post-Print hal-00671877, HAL.

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    1. Jennifer Jhun & Patricia Palacios & James Owen Weatherall, 2017. "Market Crashes as Critical Phenomena? Explanation, Idealization, and Universality in Econophysics," Papers 1704.02392, arXiv.org.
    2. Kleinert, H. & Korbel, J., 2016. "Option pricing beyond Black–Scholes based on double-fractional diffusion," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 449(C), pages 200-214.
    3. Wei Deng & Jun Wang, 2015. "Statistical analysis on multifractal detrended cross-correlation coefficient for return interval by oriented percolation," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 26(01), pages 1-17.
    4. Segnon, Mawuli & Lux, Thomas & Gupta, Rangan, 2017. "Modeling and forecasting the volatility of carbon dioxide emission allowance prices: A review and comparison of modern volatility models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 692-704.
    5. Alain Chaboud & Benjamin Chiquoine & Erik Hjalmarsson & Mico Loretan, 2008. "Frequency of observation and the estimation of integrated volatility in deep and liquid financial markets," BIS Working Papers 249, Bank for International Settlements.
    6. Laurent-Emmanuel Calvet & Veronika Czellar, 2011. "State-Observation Sampling and the Econometrics of Learning Models," Working Papers hal-00625500, HAL.
    7. Jorge Pérez-Rodríguez & Emilio Gómez-Déniza & Simón Sosvilla-Rivero, 2019. "“Testing for private information using trade duration models with unobserved market heterogeneity: The case of Banco Popular”," IREA Working Papers 201907, University of Barcelona, Research Institute of Applied Economics, revised Apr 2019.
    8. Kukacka, Jiri & Kristoufek, Ladislav, 2021. "Does parameterization affect the complexity of agent-based models?," Journal of Economic Behavior & Organization, Elsevier, vol. 192(C), pages 324-356.
    9. D. Sornette, 2014. "Physics and Financial Economics (1776-2014): Puzzles, Ising and Agent-Based models," Papers 1404.0243, arXiv.org.
    10. Jason Beeler & John Y. Campbell, 2009. "The Long-Run Risks Model and Aggregate Asset Prices: An Empirical Assessment," NBER Working Papers 14788, National Bureau of Economic Research, Inc.
    11. Xing, Yani & Wang, Jun, 2019. "Statistical volatility duration and complexity of financial dynamics on Sierpinski gasket lattice percolation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 513(C), pages 234-247.
    12. Juan M. Romero & Ilse B. Zubieta-Mart'inez, 2016. "Relativistic Quantum Finance," Papers 1604.01447, arXiv.org.
    13. Calvet, Laurent E. & Czellar, Veronika, 2015. "Through the looking glass: Indirect inference via simple equilibria," Journal of Econometrics, Elsevier, vol. 185(2), pages 343-358.
    14. Laurent E. Calvet & Veronika Czellar & Elvezio Ronchetti, 2015. "Robust Filtering," Post-Print hal-02313229, HAL.
    15. Stéphane Goutte & Benteng Zou, 2012. "Continuous time regime switching model applied to foreign exchange rate," Working Papers hal-00643900, HAL.
    16. Jean-Philippe Aguilar & Cyril Coste & Hagen Kleinert & Jan Korbel, 2016. "Distributional Mellin calculus in $\mathbb{C}^n$, with applications to option pricing," Papers 1611.03239, arXiv.org, revised Nov 2016.
    17. Norman Hutchison & Patricia Fraser & Alastair Adair & Rahul Srivatsa, 2012. "Regime shifts in ex post UK commercial property risk premiums," Journal of Property Research, Taylor & Francis Journals, vol. 29(3), pages 247-269, April.
    18. Eric M. Aldrich & Indra Heckenbach & Gregory Laughlin, 2014. "A Compound Multifractal Model for High-Frequency Asset Returns," BYU Macroeconomics and Computational Laboratory Working Paper Series 2014-05, Brigham Young University, Department of Economics, BYU Macroeconomics and Computational Laboratory.
    19. Min Wang & Jun Wang, 2017. "Multiscale volatility duration characteristics on financial multi-continuum percolation dynamics," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 28(05), pages 1-21, May.
    20. Jianjian Jin, 2013. "Jump-Diffusion Long-Run Risks Models, Variance Risk Premium and Volatility Dynamics," Staff Working Papers 13-12, Bank of Canada.
    21. Rémy Chicheportiche & Jean-Philippe Bouchaud, 2012. "The Joint Distribution Of Stock Returns Is Not Elliptical," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 15(03), pages 1-23.
    22. Niu, Hongli & Wang, Jun & Lu, Yunfan, 2016. "Fluctuation behaviors of financial return volatility duration," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 448(C), pages 30-40.
    23. Wang, Guochao & Zheng, Shenzhou & Wang, Jun, 2019. "Complex and composite entropy fluctuation behaviors of statistical physics interacting financial model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 517(C), pages 97-113.
    24. R'emy Chicheportiche & Jean-Philippe Bouchaud, 2012. "The fine-structure of volatility feedback I: multi-scale self-reflexivity," Papers 1206.2153, arXiv.org, revised Sep 2013.
    25. Wang, Yiduan & Zheng, Shenzhou & Zhang, Wei & Wang, Guochao & Wang, Jun, 2018. "Fuzzy entropy complexity and multifractal behavior of statistical physics financial dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 486-498.
    26. Hongli Niu & Jun Wang, 2014. "Phase and multifractality analyses of random price time series by finite-range interacting biased voter system," Computational Statistics, Springer, vol. 29(5), pages 1045-1063, October.
    27. Ladislav Kristoufek, 2012. "Fractal Markets Hypothesis And The Global Financial Crisis: Scaling, Investment Horizons And Liquidity," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 15(06), pages 1-13.
    28. Tang, Zhenpeng & Ran, Meng & Zhao, Yongxiang, 2020. "Stock trading dynamics and pedestrian counterflows: Analogies and differences," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
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  18. Laurent-Emmanuel Calvet & Adlai J. Fisher, 2007. "Multifrequency news and stock returns," Post-Print hal-00459675, HAL.

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    1. Deniz Erdemlioglu & Nikola Gradojevic, 2020. "Heterogeneous investment horizons, risk regimes, and realized jumps," Post-Print hal-02995997, HAL.
    2. Laurent E. Calvet & Adlai J. Fisher, 2005. "Multifrequency News and Stock Returns," NBER Working Papers 11441, National Bureau of Economic Research, Inc.
    3. Bhamra, Harjoat Singh & Kuehn, Lars-Alexander & Strebulaev, Ilya, 2018. "The Levered Equity Risk Premium and Credit Spreads: A Unified Framework," CEPR Discussion Papers 12827, C.E.P.R. Discussion Papers.
    4. Campbell, John Y. & Giglio, Stefano & Polk, Christopher & Turley, Robert, 2018. "An intertemporal CAPM with stochastic volatility," Journal of Financial Economics, Elsevier, vol. 128(2), pages 207-233.
    5. Andrew Ang & Allan Timmermann, 2011. "Regime Changes and Financial Markets," NBER Working Papers 17182, National Bureau of Economic Research, Inc.
    6. Gourieroux, Christian & Jasiak, Joann, 2010. "Inference for Noisy Long Run Component Process," MPRA Paper 98987, University Library of Munich, Germany.
    7. Jerry Tsai & Jessica A. Wachter, 2015. "Disaster Risk and its Implications for Asset Pricing," NBER Working Papers 20926, National Bureau of Economic Research, Inc.
    8. Larry Epstein & Emmanuel Farhi & Tomasz Stralezcki, 2013. "How Much Would You Pay to Resolve Long-Run Risk?," Working Paper 106061, Harvard University OpenScholar.
    9. Farago, Adam & Tédongap, Roméo, 2018. "Downside risks and the cross-section of asset returns," Journal of Financial Economics, Elsevier, vol. 129(1), pages 69-86.
    10. Mark J. Jensen & John M. Maheu, 2014. "Risk, Return and Volatility Feedback: A Bayesian Nonparametric Analysis," Working Paper series 31_14, Rimini Centre for Economic Analysis.
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    12. Kukacka, Jiri & Kristoufek, Ladislav, 2021. "Does parameterization affect the complexity of agent-based models?," Journal of Economic Behavior & Organization, Elsevier, vol. 192(C), pages 324-356.
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    27. Kostyantyn MALYSHENKO & Vadim MALYSHENKO & Elena Yu. PONOMAREVA & Marina ANASHKINA, 2019. "Analysis of the stock market anomalies in the context of changing the information paradigm," Eastern Journal of European Studies, Centre for European Studies, Alexandru Ioan Cuza University, vol. 10, pages 239-270, June.
    28. Julien Chevallier & Bilel Sanhaji, 2023. "Jump-Robust Realized-GARCH-MIDAS-X Estimators for Bitcoin and Ethereum Volatility Indices," Post-Print halshs-04344131, HAL.
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    31. Calvet, Laurent E. & Fearnley, Marcus & Fisher, Adlai J. & Leippold, Markus, 2015. "What is beneath the surface? Option pricing with multifrequency latent states," Journal of Econometrics, Elsevier, vol. 187(2), pages 498-511.
    32. Massimo Guidolin, 2013. "Markov switching models in asset pricing research," Chapters, in: Adrian R. Bell & Chris Brooks & Marcel Prokopczuk (ed.), Handbook of Research Methods and Applications in Empirical Finance, chapter 1, pages 3-44, Edward Elgar Publishing.
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  19. Calvet, Laurent & Campbell, John Y. & Sodini, Paolo, 2006. "Down or out: assessing the welfare costs of household investment mistakes," HEC Research Papers Series 832, HEC Paris.

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    3. Candelon, Bertrand & Fuerst, Franz & Hasse, Jean-Baptiste, 2021. "Diversification Potential in Real Estate Portfolios," LIDAM Discussion Papers LFIN 2021001, Université catholique de Louvain, Louvain Finance (LFIN).
    4. Abrahamson, Martin, 2016. "“Rookies to the stock market: A portrait of new shareholders”," Research in International Business and Finance, Elsevier, vol. 38(C), pages 565-576.
    5. Campbell, John Y., 2016. "Restoring rational choice: The challenge of consumer financial regulation," Working Paper Series 1897, European Central Bank.
    6. Hong, Claire Yurong & Lu, Xiaomeng & Pan, Jun, 2021. "FinTech adoption and household risk-taking," BOFIT Discussion Papers 14/2021, Bank of Finland Institute for Emerging Economies (BOFIT).
    7. Maarten C.J. van Rooij & Annamaria Lusardi & Rob J.M. Alessie, 2012. "Financial Literacy, Retirement Planning and Household Wealth," Economic Journal, Royal Economic Society, vol. 122(560), pages 449-478, May.
    8. Andreas Fagereng & Charles Gottlieb & Luigi Guiso, 2013. "Asset Market Participation and Portfolio Choice over the Life-Cycle," Economics Working Papers ECO2013/07, European University Institute.
    9. Hvide, Hans K. & Meling, Tom G. & Mogstad, Magne & Vestad, Ola, 2023. "Broadband Internet and the Stock Market Investments of Individual Investors," CEPR Discussion Papers 18067, C.E.P.R. Discussion Papers.
    10. Le Blanc, Julia & Scholl, Almuth, 2011. "Optimal savings for retirement: The role of individual accounts and disaster expectations," Discussion Paper Series 1: Economic Studies 2011,33, Deutsche Bundesbank.
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    36. Roine Vestman, 2019. "Limited Stock Market Participation Among Renters and Homeowners," The Review of Financial Studies, Society for Financial Studies, vol. 32(4), pages 1494-1535.
    37. Firth, Chris, 2020. "Protecting investors from themselves: Evidence from a regulatory intervention," Journal of Behavioral and Experimental Finance, Elsevier, vol. 27(C).
    38. Bruce I. Carlin & Simon Gervais, 2009. "Legal Protection in Retail Financial Markets," NBER Working Papers 14972, National Bureau of Economic Research, Inc.
    39. Luigi Guiso & Tullio Jappelli, 2007. "Information Acquisition and Portfolio Performance," Economics Working Papers ECO2007/45, European University Institute.
    40. Claudio Michelacci & Fabiano Schivardi, 2010. "Does Idiosyncratic Business Risk Matter?," Working Papers CELEG 1002, Dipartimento di Economia e Finanza, LUISS Guido Carli.
    41. Bannier, Christina E. & Schwarz, Milena, 2017. "Skilled but unaware of it: Occurrence and potential long-term effects of females' financial underconfidence," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168188, Verein für Socialpolitik / German Economic Association.
    42. Bonaparte, Yosef, 2022. "Time horizon and cryptocurrency ownership: Is crypto not speculative?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
    43. Cantore, Cristiano & Freund, Lukas, 2020. "Workers, capitalists, and the government: fiscal policy and income (re)distribution," Bank of England working papers 858, Bank of England.
    44. Back, Camila & Morana, Stefan & Spann, Martin, 2023. "When do robo-advisors make us better investors? The impact of social design elements on investor behavior," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 103(C).
    45. Breitenlechner, Max & Georgiadis, Georgios & Schumann, Ben, 2022. "What goes around comes around: How large are spillbacks from US monetary policy?," Journal of Monetary Economics, Elsevier, vol. 131(C), pages 45-60.
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    47. Turan G. Bali & Nusret Cakici & Robert F. Whitelaw, 2009. "Maxing Out: Stocks as Lotteries and the Cross-Section of Expected Returns," NBER Working Papers 14804, National Bureau of Economic Research, Inc.
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    342. Gregor Dorfleitner & Lars Hornuf & Martina Weber, 2023. "Paralyzed by shock: the portfolio formation behavior of peer-to-business lending investors," Review of Managerial Science, Springer, vol. 17(3), pages 1037-1073, April.
    343. Fang Zhao & Jie Sun & Raj Devasagayam & Gary Clendenen, 2018. "Effects of culture and financial literacy among Chinese-Americans on participating in financial services," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 23(1), pages 62-75, March.
    344. Iyengar, Sheena S. & Kamenica, Emir, 2010. "Choice proliferation, simplicity seeking, and asset allocation," Journal of Public Economics, Elsevier, vol. 94(7-8), pages 530-539, August.
    345. Lu, Xiaomeng & Zhang, Yong & Zhang, Yixing & Wang, Lin, 2020. "Can investment advisors promote rational investment? Evidence from micro-data in China," Economic Modelling, Elsevier, vol. 86(C), pages 251-263.
    346. Zhiguo He & Bryan Kelly & Asaf Manela, 2016. "Intermediary Asset Pricing: New Evidence from Many Asset Classes," NBER Working Papers 21920, National Bureau of Economic Research, Inc.
    347. Bodnaruk, Andriy & Simonov, Andrei, 2015. "Do financial experts make better investment decisions?," Journal of Financial Intermediation, Elsevier, vol. 24(4), pages 514-536.
    348. Litterscheidt, Rouven & Streich, David J., 2020. "Financial education and digital asset management: What's in the black box?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 87(C).
    349. Jungshik Hur & Vivek Singh, 2022. "The role of investor attention in idiosyncratic volatility puzzle and new results," Review of Quantitative Finance and Accounting, Springer, vol. 58(1), pages 409-434, January.
    350. Xiaomeng Lu & Jiaojiao Guo & Hailing Zhou, 2021. "Digital financial inclusion development, investment diversification, and household extreme portfolio risk," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(5), pages 6225-6261, December.
    351. Xiaobo Xu & Jiali Fang & Martin Young & Liping Zou, 2024. "The impact of post‐retirement financial market participation on retirement income sufficiency in Australia," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 64(1), pages 903-939, March.
    352. de Dreu, Jan & Bikker, Jacob A., 2012. "Investor sophistication and risk taking," Journal of Banking & Finance, Elsevier, vol. 36(7), pages 2145-2156.
    353. Bali, Turan G. & Cakici, Nusret & Whitelaw, Robert F., 2011. "Maxing out: Stocks as lotteries and the cross-section of expected returns," Journal of Financial Economics, Elsevier, vol. 99(2), pages 427-446, February.
    354. Hvide, Hans K. & Døskeland, Trond, 2009. "Do Individual Investors Have Asymmetric Information Based On Work Experience?," CEPR Discussion Papers 7428, C.E.P.R. Discussion Papers.
    355. Geert Bekaert & Kenton Hoyem & Wei-Yin Hu & Enrichetta Ravina, 2015. "Who is Internationally Diversified? Evidence from 296 401(k)," NBER Working Papers 21236, National Bureau of Economic Research, Inc.
    356. Brühl, Volker, 2019. "Financial literacy among German students at secondary schools: Some empirical evidence from the state of Hesse," CFS Working Paper Series 627, Center for Financial Studies (CFS).
    357. Aart Gerritsen & Bas Jacobs & Alexandra V. Rusu & Kevin Spiritus, 2020. "Optimal Taxation of Capital Income with Heterogeneous Rates of Return," Tinbergen Institute Discussion Papers 20-038/VI, Tinbergen Institute.
    358. Fong, Joelle H., 2020. "Taking control: Active investment choice in Singapore’s national defined contribution scheme," The Journal of the Economics of Ageing, Elsevier, vol. 17(C).
    359. Robert L. Clark & Annamaria Lusardi & Olivia S. Mitchell, 2014. "Financial Knowledge and 401(k) Investment Performance," NBER Working Papers 20137, National Bureau of Economic Research, Inc.
    360. Shuhei Aoki & Makoto Nirei, 2017. "Zipf's Law, Pareto's Law, and the Evolution of Top Incomes in the United States," American Economic Journal: Macroeconomics, American Economic Association, vol. 9(3), pages 36-71, July.
    361. Bucher-Koenen, Tabea, 2011. "Financial Literacy, Riester Pensions, and Other Private Old Age Provision in Germany," MEA discussion paper series 11250, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
    362. Michael Berlemann & Marc-André Luik, 2014. "Unterscheiden sich West- und Ostdeutsche in ihrem Anlageverhalten? Empirische Evidenz auf Basis von Bankdaten," ifo Dresden berichtet, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 21(06), pages 27-36, December.
    363. Marco Rossi, 2014. "Market Participation and Dividend Clienteles," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 4(04), pages 1-21.
    364. Kaustia, Markku & Torstila, Sami, 2011. "Stock market aversion? Political preferences and stock market participation," Journal of Financial Economics, Elsevier, vol. 100(1), pages 98-112, April.
    365. Alessandro Bucciol & Raffaele Miniaci & Sergio Pastorello, 2015. "Return Expectations and Risk Aversion Heterogeneity in Household Portfolios," Working Papers 01/2015, University of Verona, Department of Economics.
    366. Scholnick, Barry & Massoud, Nadia & Saunders, Anthony, 2013. "The impact of wealth on financial mistakes: Evidence from credit card non-payment," Journal of Financial Stability, Elsevier, vol. 9(1), pages 26-37.
    367. Nam, Tong-yob & Oh, Seungjoon, 2021. "Non-recourse mortgage law and housing speculation," Journal of Banking & Finance, Elsevier, vol. 133(C).
    368. Arash Nekoei & David Seim, 2023. "How Do Inheritances Shape Wealth Inequality? Theory and Evidence from Sweden," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(1), pages 463-498.
    369. Frost, Jon & Gambacorta, Leonardo & Gambacorta, Romina, 2022. "On the nexus between wealth inequality, financial development and financial technology," Journal of Economic Behavior & Organization, Elsevier, vol. 202(C), pages 429-451.
    370. Ning Tang & Olivia S. Mitchell, 2008. "The Efficiency of Pension Plan Investment Menus: Investment Choices in Defined Contribution Pension Plans," Working Papers wp176, University of Michigan, Michigan Retirement Research Center.
    371. Aoki, Shuhei & Nirei, Makoto, 2016. "Zipf's Law, Pareto's Law, and the Evolution of Top Incomes in the U.S," MPRA Paper 73896, University Library of Munich, Germany.
    372. Cheung, Yan-Leung & Mak, Billy S.C. & Shu, Hao & Tan, Weiqiang, 2023. "Impact of financial investment on confidence in a happy future retirement," International Review of Financial Analysis, Elsevier, vol. 89(C).
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    375. Meyer, Steffen & Urban, Linda & Ahlswede, Sophie, 2016. "Does feedback on personal investment success help?," SAFE Working Paper Series 157, Leibniz Institute for Financial Research SAFE.
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  20. Laurent-Emmanuel Calvet & Adlai J. Fisher & Samuel B. Thompson, 2006. "Volatility Comovement: a multifrequency approach," Post-Print hal-00459667, HAL.

    Cited by:

    1. Vähämaa, Sami & Krylova, Elizaveta & Nikkinen, Jussi, 2005. "Cross-dynamics of volatility term structures implied by foreign exchange options," Working Paper Series 530, European Central Bank.
    2. Lux, Thomas, 2022. "Inference for Nonlinear State Space Models: A Comparison of Different Methods applied to Markov-Switching Multifractal Models," Econometrics and Statistics, Elsevier, vol. 21(C), pages 69-95.
    3. Arnaud Dufays, 2014. "On the conjugacy of off-line and on-line Sequential Monte Carlo Samplers," Working Paper Research 263, National Bank of Belgium.
    4. Laurent E. Calvet & Adlai J. Fisher, 2005. "Multifrequency News and Stock Returns," NBER Working Papers 11441, National Bureau of Economic Research, Inc.
    5. Lakshmi Balasubramanyan, 2005. "Do Time-Varying Covariances, Volatility Comovement and Spillover Matter?," Finance 0509002, University Library of Munich, Germany.
    6. Lux, Thomas & Segnon, Mawuli & Gupta, Rangan, 2016. "Forecasting crude oil price volatility and value-at-risk: Evidence from historical and recent data," Energy Economics, Elsevier, vol. 56(C), pages 117-133.
    7. Roberto Casarin & Marco Tronzano & Domenico Sartore, 2013. "Bayesian Markov Switching Stochastic Correlation Models," Working Papers 2013:11, Department of Economics, University of Venice "Ca' Foscari".
    8. Troy Tassier, 2013. "Handbook of Research on Complexity, by J. Barkley Rosser, Jr. and Edward Elgar," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 39(1), pages 132-133.
    9. Thomas Lux, 2009. "Applications of Statistical Physics in Finance and Economics," Chapters, in: J. Barkley Rosser Jr. (ed.), Handbook of Research on Complexity, chapter 9, Edward Elgar Publishing.
    10. Segnon, Mawuli & Lux, Thomas, 2013. "Multifractal models in finance: Their origin, properties, and applications," Kiel Working Papers 1860, Kiel Institute for the World Economy (IfW Kiel).
    11. Wang, Yudong & Wu, Chongfeng & Yang, Li, 2016. "Forecasting crude oil market volatility: A Markov switching multifractal volatility approach," International Journal of Forecasting, Elsevier, vol. 32(1), pages 1-9.
    12. Wei, Yu & Wang, Yudong & Huang, Dengshi, 2011. "A copula–multifractal volatility hedging model for CSI 300 index futures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(23), pages 4260-4272.
    13. Laurent-Emmanuel Calvet & Veronika Czellar, 2011. "State-Observation Sampling and the Econometrics of Learning Models," Working Papers hal-00625500, HAL.
    14. María Nieves López-García & Miguel Angel Sánchez-Granero & Juan Evangelista Trinidad-Segovia & Antonio Manuel Puertas & Francisco Javier De las Nieves, 2021. "Volatility Co-Movement in Stock Markets," Mathematics, MDPI, vol. 9(6), pages 1-19, March.
    15. Calvet, Laurent E. & Fisher, Adlai J., 2008. "Multifrequency jump-diffusions: An equilibrium approach," Journal of Mathematical Economics, Elsevier, vol. 44(2), pages 207-226, January.
    16. Ruipeng Liu & Riza Demirer & Rangan Gupta & Mark Wohar, 2020. "Volatility forecasting with bivariate multifractal models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(2), pages 155-167, March.
    17. Lux, Thomas, 2004. "The Markov-switching multi-fractal model of asset returns: GMM estimation and linear forecasting of volatility," Economics Working Papers 2004-11, Christian-Albrechts-University of Kiel, Department of Economics.
    18. Chao Zhang & Yihuang Zhang & Mihai Cucuringu & Zhongmin Qian, 2022. "Volatility forecasting with machine learning and intraday commonality," Papers 2202.08962, arXiv.org, revised Feb 2023.
    19. Asai, M. & Caporin, M. & McAleer, M.J., 2012. "Forecasting Value-at-Risk Using Block Structure Multivariate Stochastic Volatility Models," Econometric Institute Research Papers EI 2012-02, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    20. Sinha, Pankaj & Sinha, Gyanesh, 2010. "Volatility Spillover in India, USA and Japan Investigation of Recession Effects," MPRA Paper 21873, University Library of Munich, Germany.
    21. Siddhartha Chib & Yasuhiro Omori & Manabu Asai, 2007. "Multivariate stochastic volatility (Revised in May 2007, Handbook of Financial Time Series (Published in "Handbook of Financial Time Series" (eds T.G. Andersen, R.A. Davis, Jens-Peter Kreiss," CARF F-Series CARF-F-094, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    22. Liu, Yufang & Zhang, Weiguo & Fu, Junhui, 2016. "Binomial Markov-Switching Multifractal model with Skewed t innovations and applications to Chinese SSEC Index," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 56-66.
    23. Arnaud Dufays & Maciej Augustyniak & Luc Bauwens, 2016. "A new approach to volatility modeling: the High-Dimensional Markov model," Cahiers de recherche 1609, Centre de recherche sur les risques, les enjeux économiques, et les politiques publiques.
    24. Wei, Yu & Chen, Wang & Lin, Yu, 2013. "Measuring daily Value-at-Risk of SSEC index: A new approach based on multifractal analysis and extreme value theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(9), pages 2163-2174.
    25. Hallam, Mark & Olmo, Jose, 2014. "Forecasting daily return densities from intraday data: A multifractal approach," International Journal of Forecasting, Elsevier, vol. 30(4), pages 863-881.
    26. Idier, J., 2008. "Long term vs. short term comovements in stock markets: the use of Markov-switching multifractal models," Working papers 218, Banque de France.
    27. Liu, Ruipeng & Lux, Thomas, 2010. "Flexible and robust modelling of volatility comovements: a comparison of two multifractal models," Kiel Working Papers 1594, Kiel Institute for the World Economy (IfW Kiel).
    28. Ruipeng Liu & Rangan Gupta & Elie Bouri, 2021. "Conventional and Unconventional Monetary Policy Rate Uncertainty and Stock Market Volatility: A Forecasting Perspective," Working Papers 202178, University of Pretoria, Department of Economics.
    29. Jin Yong Yang & Sang-Heon Lee & In-Sung Yeo, 2017. "Long and Short-term Volatility Comovements in the East Asian Stock," Applied Economics and Finance, Redfame publishing, vol. 4(3), pages 14-29, May.
    30. Michael S. Johannes & Nicholas G. Polson & Jonathan R. Stroud, 2009. "Optimal Filtering of Jump Diffusions: Extracting Latent States from Asset Prices," The Review of Financial Studies, Society for Financial Studies, vol. 22(7), pages 2559-2599, July.
    31. Orlov, Alexei G., 2009. "A cospectral analysis of exchange rate comovements during Asian financial crisis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(5), pages 742-758, December.
    32. Golosnoy, Vasyl & Hamid, Alain & Okhrin, Yarema, 2014. "The empirical similarity approach for volatility prediction," Journal of Banking & Finance, Elsevier, vol. 40(C), pages 321-329.
    33. Rim Ammar Lamouchi & Ruba Khalid Shira, 2023. "Heterogeneous Behavior and Volatility Transmission in the Forex Market using High-Frequency Data," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 13(3), pages 1-3.
    34. Mulyadi, Martin Surya, 2009. "Volatility spillover in Indonesia, USA, and Japan capital market," MPRA Paper 16914, University Library of Munich, Germany.
    35. Ruipeng Liu & Riza Demirer & Rangan Gupta & Mark E. Wohar, 2017. "Do Bivariate Multifractal Models Improve Volatility Forecasting in Financial Time Series? An Application to Foreign Exchange and Stock Markets," Working Papers 201728, University of Pretoria, Department of Economics.
    36. Lux, Thomas, 2008. "Applications of statistical physics in finance and economics," Kiel Working Papers 1425, Kiel Institute for the World Economy (IfW Kiel).
    37. Malo, Pekka, 2009. "Modeling electricity spot and futures price dependence: A multifrequency approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(22), pages 4763-4779.
    38. Fernández-Avilés, Gema & Montero, Jose-María & Orlov, Alexei G., 2012. "Spatial modeling of stock market comovements," Finance Research Letters, Elsevier, vol. 9(4), pages 202-212.
    39. Calvet, Laurent E. & Fearnley, Marcus & Fisher, Adlai J. & Leippold, Markus, 2015. "What is beneath the surface? Option pricing with multifrequency latent states," Journal of Econometrics, Elsevier, vol. 187(2), pages 498-511.
    40. Ruipeng Liu & Rangan Gupta, 2020. "Investors' Uncertainty and Forecasting Stock Market Volatility," Working Papers 202090, University of Pretoria, Department of Economics.
    41. Lux, Thomas, 2018. "Inference for nonlinear state space models: A comparison of different methods applied to Markov-switching multifractal models," Economics Working Papers 2018-07, Christian-Albrechts-University of Kiel, Department of Economics.
    42. Simona Moagăr-Poladian & Dorina Clichici & Cristian-Valeriu Stanciu, 2019. "The Comovement of Exchange Rates and Stock Markets in Central and Eastern Europe," Sustainability, MDPI, vol. 11(14), pages 1-22, July.
    43. Oxana Babetskaia-Kukharchuk & Ian Babetskii & Jiri Podpiera, 2008. "Convergence in exchange rates: market's view on CE-4 joining EMU," Applied Economics Letters, Taylor & Francis Journals, vol. 15(5), pages 385-390.
    44. Siddhartha Chib & Yasuhiro Omori & Manabu Asai, 2007. "Multivariate stochastic volatility," CIRJE F-Series CIRJE-F-488, CIRJE, Faculty of Economics, University of Tokyo.
    45. Liu, Ruipeng & Lux, Thomas, 2017. "Generalized Method of Moment estimation of multivariate multifractal models," Economic Modelling, Elsevier, vol. 67(C), pages 136-148.
    46. Ruipeng Liu & Mawuli Segnon & Oguzhan Cepni & Rangan Gupta, 2023. "Forecasting Volatility of Commodity, Currency, and Stock Markets: Evidence from Markov Switching Multifractal Models," Working Papers 202340, University of Pretoria, Department of Economics.
    47. Mogaji, Peter Kehinde, 2018. "Some Stylised Facts for the Economies of Anglophone West Africa and Guinea," MPRA Paper 99145, University Library of Munich, Germany.
    48. Chen, Wang & Wei, Yu & Lang, Qiaoqi & Lin, Yu & Liu, Maojuan, 2014. "Financial market volatility and contagion effect: A copula–multifractal volatility approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 398(C), pages 289-300.
    49. Roberto Casarin & Domenico Sartore & Marco Tronzano, 2018. "A Bayesian Markov-Switching Correlation Model for Contagion Analysis on Exchange Rate Markets," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(1), pages 101-114, January.
    50. Antonio Doria, Francisco, 2011. "J.B. Rosser Jr. , Handbook of Research on Complexity, Edward Elgar, Cheltenham, UK--Northampton, MA, USA (2009) 436 + viii pp., index, ISBN 978 1 84542 089 5 (cased)," Journal of Economic Behavior & Organization, Elsevier, vol. 78(1-2), pages 196-204, April.
    51. Das, Suman & Roy, Saikat Sinha, 2023. "Following the leaders? A study of co-movement and volatility spillover in BRICS currencies," Economic Systems, Elsevier, vol. 47(2).
    52. Lee, Hojin & Song, Jae Wook & Chang, Woojin, 2016. "Multifractal Value at Risk model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 451(C), pages 113-122.
    53. Jian Zhou, 2012. "Multiscale Analysis of International Linkages of REIT Returns and Volatilities," The Journal of Real Estate Finance and Economics, Springer, vol. 45(4), pages 1062-1087, November.
    54. Massimiliano Frezza & Sergio Bianchi & Augusto Pianese, 2022. "Forecasting Value-at-Risk in turbulent stock markets via the local regularity of the price process," Computational Management Science, Springer, vol. 19(1), pages 99-132, January.

  21. George-Marios Angeletos & Laurent-Emmanuel Calvet, 2005. "Incomplete Market Dynamics in a Neoclassical Production Economy," Harvard Institute of Economic Research Working Papers 2058, Harvard - Institute of Economic Research.

    Cited by:

    1. Laurent-Emmanuel Calvet & George-Marios Angeletos, 2006. "Idiosyncratic Production Risk, Growth and the Business Cycle," Post-Print halshs-00119533, HAL.
    2. Khieu, Hoang & Wälde, Klaus, 2018. "Capital Income Risk and the Dynamics of the Wealth Distribution," IZA Discussion Papers 11840, Institute of Labor Economics (IZA).
    3. Dindo, Pietro & Modena, Andrea & Pelizzon, Loriana, 2022. "Risk pooling, intermediation efficiency, and the business cycle," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
    4. Lukasz Balbus & Pawel Dziewulski & Kevin Reffett & Lukasz Wozny, 2020. "Markov distributional equilibrium dynamics in games with complementarities and no aggregate risk," KAE Working Papers 2020-052, Warsaw School of Economics, Collegium of Economic Analysis.
    5. Getachew, Yoseph Yilma, 2016. "Credit constraints, growth and inequality dynamics," Economic Modelling, Elsevier, vol. 54(C), pages 364-376.
    6. Calvet, Laurent-Emmanuel & Grandmont, Jean-Michel & Lemaire, Isabelle, 2018. "Aggregation of heterogenous beliefs, asset pricing, and risk sharing in complete financial markets," Research in Economics, Elsevier, vol. 72(1), pages 117-146.
    7. Jess Benhabib & Alberto Bisin & Shenghao Zhu, 2014. "The Wealth Distribution in Bewley Models with Investment Risk," NBER Working Papers 20157, National Bureau of Economic Research, Inc.
    8. Giacomo Candian & Mikhail Dmitriev, 2020. "Online Appendix to "Risk Aversion, Uninsurable Idiosyncratic Risk, and the Financial Accelerator"," Online Appendices 18-70, Review of Economic Dynamics.
    9. Alexis Derviz, 2020. "Sovereign Capital, External Balance, and the Investment-Based Balassa-Samuelson Effect in a Global Dynamic Equilibrium," Working Papers 2020/4, Czech National Bank.
    10. Dan Cao & Wenlan Luo, 2017. "Persistent Heterogeneous Returns and Top End Wealth Inequality," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 26, pages 301-326, October.
    11. Nawaz, Nasreen, 2019. "Efficiency on the Dynamic Adjustment Path in a Financial Market," MPRA Paper 118271, University Library of Munich, Germany, revised 04 Jun 2020.
    12. Mark A. Carlson & Thomas B. King & Kurt F. Lewis, 2008. "Distress in the financial sector and economic activity," Finance and Economics Discussion Series 2008-43, Board of Governors of the Federal Reserve System (U.S.).
    13. Ratbek Dzhumashev, 2007. "Corruption, Uncertainty And Growth," Monash Economics Working Papers 15-07, Monash University, Department of Economics.
    14. Yoseph Getachew & Stephen Turnovsky, 2015. "Productive Government Spending and its Consequences for the Growth–Inequality Tradeoff," Working Papers 201520, University of Pretoria, Department of Economics.
    15. Parantap Basu & Yoseph Getachew, 2020. "Redistributive innovation policy, inequality, and efficiency," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 22(3), pages 532-554, June.
    16. Ahmed, Muhammad Ashfaq & Nawaz, Nasreen, 2023. "Adam Smith's Perfectly Competitive Market is Not Pareto Efficient: A Dynamic Perspective," MPRA Paper 118362, University Library of Munich, Germany.
    17. Benhabib, Jess & Bisin, Alberto & Zhu, Shenghao, 2015. "The wealth distribution in Bewley economies with capital income risk," Journal of Economic Theory, Elsevier, vol. 159(PA), pages 489-515.
    18. Angeletos, George-Marios & Panousi, Vasia, 2009. "Revisiting the supply side effects of government spending," Journal of Monetary Economics, Elsevier, vol. 56(2), pages 137-153, March.
    19. George-Marios Angeletos, 2005. "Uninsured Idiosyncratic Investment Risk," NBER Working Papers 11180, National Bureau of Economic Research, Inc.
    20. Jess Benhabib & Alberto Bisin, 2016. "Skewed Wealth Distributions: Theory and Empirics," NBER Working Papers 21924, National Bureau of Economic Research, Inc.
    21. Yoseph Yilma Getachew, 2011. "Public Investment Policy, Distribution, and Growth: What Levels of Redistribution through Public Investment Maximize Growth?," DEGIT Conference Papers c016_072, DEGIT, Dynamics, Economic Growth, and International Trade.
    22. Fabia Gumbau-Brisa, 2005. "Heterogeneous beliefs and inflation dynamics: a general equilibrium approach," Working Papers 05-16, Federal Reserve Bank of Boston.
    23. Wulff, Alexander & Heinemann, Maik, 2015. "Idiosyncratic Risk, Borrowing Constraints and Financial Integration - A Discussion of Ambiguous Results," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113165, Verein für Socialpolitik / German Economic Association.
    24. Toda, Alexis Akira, 2014. "Incomplete market dynamics and cross-sectional distributions," Journal of Economic Theory, Elsevier, vol. 154(C), pages 310-348.
    25. Dzhumashev, Ratbek, 2008. "Corruption and Disposable Risk," MPRA Paper 11772, University Library of Munich, Germany.
    26. Eva Carceles-Poveda, 2009. "Asset Prices and Business Cycles under Market Incompleteness," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 12(3), pages 405-422, July.
    27. Chanont Banternghansa, 2017. "Multi-Firm Entrepreneurship and Financial Frictions," PIER Discussion Papers 56, Puey Ungphakorn Institute for Economic Research.
    28. Toda, Alexis Akira, 2017. "Huggett economies with multiple stationary equilibria," Journal of Economic Dynamics and Control, Elsevier, vol. 84(C), pages 77-90.
    29. Qingyin Ma & John Stachurski & Alexis Akira Toda, 2018. "The Income Fluctuation Problem with Capital Income Risk: Optimality and Stability," Papers 1812.01320, arXiv.org.

  22. Laurent Calvet & Jean-Michel Grandmont & Isabelle Lemaire, 2004. "Aggregation oh Heterogeneous Beliefs, Asset Pricing and Risk Sharing in Complete Financial Markets," Working Papers 2004-12, Center for Research in Economics and Statistics.

    Cited by:

    1. Laurent Linnemer & Michael Visser, 2018. "Jean-Michel Grandmont - A Forthcoming Mind," CESifo Working Paper Series 7060, CESifo.
    2. Kukacka, Jiri & Kristoufek, Ladislav, 2021. "Does parameterization affect the complexity of agent-based models?," Journal of Economic Behavior & Organization, Elsevier, vol. 192(C), pages 324-356.
    3. Alexander Zimper, 2023. "Belief aggregation for representative agent models," International Journal of Economic Theory, The International Society for Economic Theory, vol. 19(2), pages 309-342, June.
    4. Zimper, Alexander, 2023. "Unrealized arbitrage opportunities in naive equilibria with non-Bayesian belief processes," Mathematical Social Sciences, Elsevier, vol. 125(C), pages 27-41.
    5. Branch, William A. & McGough, Bruce, 2008. "Replicator dynamics in a Cobweb model with rationally heterogeneous expectations," Journal of Economic Behavior & Organization, Elsevier, vol. 65(2), pages 224-244, February.
    6. Angus A Brown & L C G Rogers, 2010. "Diverse Beliefs," Papers 1001.1450, arXiv.org.

  23. Laurent-Emmanuel Calvet & Adlai J. Fisher, 2004. "How to Forecast Long-Run Volatility: Regime Switching and the Estimation of Multifractal Processes," Post-Print hal-00478472, HAL.

    Cited by:

    1. Mawuli Segnon & Rangan Gupta & Keagile Lesame & Mark E. Wohar, 2019. "High-Frequency Volatility Forecasting of US Housing Markets," Working Papers 201977, University of Pretoria, Department of Economics.
    2. Lux, Thomas, 2022. "Inference for Nonlinear State Space Models: A Comparison of Different Methods applied to Markov-Switching Multifractal Models," Econometrics and Statistics, Elsevier, vol. 21(C), pages 69-95.
    3. Arnaud Dufays, 2014. "On the conjugacy of off-line and on-line Sequential Monte Carlo Samplers," Working Paper Research 263, National Bank of Belgium.
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    Cited by:

    1. Christian Walter, 2020. "Sustainable Financial Risk Modelling Fitting the SDGs: Some Reflections," Sustainability, MDPI, vol. 12(18), pages 1-28, September.
    2. Laurent E. Calvet & Adlai J. Fisher, 2005. "Multifrequency News and Stock Returns," NBER Working Papers 11441, National Bureau of Economic Research, Inc.
    3. Barunik, Jozef & Aste, Tomaso & Di Matteo, T. & Liu, Ruipeng, 2012. "Understanding the source of multifractality in financial markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(17), pages 4234-4251.
    4. Lux, Thomas & Kaizoji, Taisei, 2006. "Forecasting volatility and volume in the Tokyo stock market: Long memory, fractality and regime switching," Economics Working Papers 2006-13, Christian-Albrechts-University of Kiel, Department of Economics.
    5. Lux, Thomas & Kaizoji, Taisei, 2004. "Forecasting volatility and volume in the Tokyo stock market: The advantage of long memory models," Economics Working Papers 2004-05, Christian-Albrechts-University of Kiel, Department of Economics.
    6. Calvet, Laurent E. & Fisher, Adlai J., 2008. "Multifrequency jump-diffusions: An equilibrium approach," Journal of Mathematical Economics, Elsevier, vol. 44(2), pages 207-226, January.
    7. Lux, Thomas, 2004. "The Markov-switching multi-fractal model of asset returns: GMM estimation and linear forecasting of volatility," Economics Working Papers 2004-11, Christian-Albrechts-University of Kiel, Department of Economics.
    8. Lux, Thomas, 2003. "The multi-fractal model of asset returns: Its estimation via GMM and its use for volatility forecasting," Economics Working Papers 2003-13, Christian-Albrechts-University of Kiel, Department of Economics.
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    1. Angeletos, George-Marios & Panousi, Vasia, 2011. "Financial integration, entrepreneurial risk and global dynamics," Journal of Economic Theory, Elsevier, vol. 146(3), pages 863-896, May.
    2. Francisco Covas, 2005. "Uninsured Idiosyncratic Production Risk With Borrowing Constraints," Computing in Economics and Finance 2005 198, Society for Computational Economics.
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    4. Pardo, Cristian, 2013. "Entrepreneurial risk aversion, net worth effects and real fluctuations," Review of Financial Economics, Elsevier, vol. 22(4), pages 158-168.
    5. Juan-Carlos Cordoba, 2004. "Debt-Constraints or Incomplete Markets? A Decomposition of the Wealth and Consumption Inequality in the U.S," Macroeconomics 0404004, University Library of Munich, Germany.
    6. Stavros Panageas & Nicolae Garleanu, 2008. "Yooung, Old, Conservative and Bold: The implications of finite lives and heterogeneity for asset prices," 2008 Meeting Papers 409, Society for Economic Dynamics.
    7. Yoseph Yilma Getachew, 2012. "Distributional effects of public policy choices," Working Papers 2012_04, Durham University Business School.
    8. Ratbek Dzhumashev & Vinod Mishra & Russell Smyth, 2013. "Exporting, R&D Investment and Firm Survival in the Indian IT Sector," Monash Economics Working Papers 60-13, Monash University, Department of Economics.
    9. Francisco Covas & Shigeru Fujita, 2007. "Private risk premium and aggregate uncertainty in the model of uninsurable investment risk," Working Papers 07-30, Federal Reserve Bank of Philadelphia.
    10. Bachman, RÜdiger & Bai, Jinhui & Lee, Minjoon & Zhang, Fudong, 2020. "The Welfare and Distributional Effects of Fiscal Volatility: A Quantitative Evaluation," Working Papers 2020-2, School of Economic Sciences, Washington State University.
    11. Anmol Bhandari & Ellen R. McGrattan, 2017. "Sweat Equity in U.S. Private Business," Staff Report 560, Federal Reserve Bank of Minneapolis.
    12. Singh, Aarti, 2008. "Human capital risk in life-cycle economies," MPRA Paper 10292, University Library of Munich, Germany.
    13. Getachew, Yoseph Yilma, 2016. "Credit constraints, growth and inequality dynamics," Economic Modelling, Elsevier, vol. 54(C), pages 364-376.
    14. Calvet, Laurent-Emmanuel & Grandmont, Jean-Michel & Lemaire, Isabelle, 2018. "Aggregation of heterogenous beliefs, asset pricing, and risk sharing in complete financial markets," Research in Economics, Elsevier, vol. 72(1), pages 117-146.
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    16. M. Fatih Guvenen, 2002. "Does Stockholding Provide Perfect Risk Sharing?," RCER Working Papers 490, University of Rochester - Center for Economic Research (RCER), revised Mar 2003.
    17. Ander Pérez Orive, 2010. "Credit constraints, firms' precautionary investment and the business cycle," Economics Working Papers 1237, Department of Economics and Business, Universitat Pompeu Fabra, revised Nov 2012.
    18. Panousi, Vasia, 2009. "Financial Integration and Capital Accumulation," MPRA Paper 24238, University Library of Munich, Germany.
    19. Alexis Derviz, 2020. "Sovereign Capital, External Balance, and the Investment-Based Balassa-Samuelson Effect in a Global Dynamic Equilibrium," Working Papers 2020/4, Czech National Bank.
    20. Mendicino, Caterina, 2008. "On the amplification role of collateral constraints," MPRA Paper 9425, University Library of Munich, Germany.
    21. Parra-Alvarez, Juan Carlos & Posch, Olaf & Wang, Mu-Chun, 2020. "Estimation of heterogeneous agent models: A likelihood approach," Discussion Papers 42/2020, Deutsche Bundesbank.
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    23. Dan Cao & Wenlan Luo, 2017. "Persistent Heterogeneous Returns and Top End Wealth Inequality," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 26, pages 301-326, October.
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    25. Yulei Luo & Jun Nie & Heng-fu Zou, 2021. "Wealth in the Utility Function and Consumption Inequality," Research Working Paper RWP 21-17, Federal Reserve Bank of Kansas City.
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    34. Monacelli, Tommas & Sala, Luca & Siena, Daniele, 2018. "Real Interest Rates and Productivity in Small Open Economies," CEPR Discussion Papers 12808, C.E.P.R. Discussion Papers.
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    37. Yoseph Getachew & Stephen Turnovsky, 2015. "Productive Government Spending and its Consequences for the Growth–Inequality Tradeoff," Working Papers 201520, University of Pretoria, Department of Economics.
    38. Luo, Yulei & Zou, Heng-fu, 2008. "Uninsurable Entrepreneurial Risk, Capital Market Imperfections, and Heterogeneity in the Macroeconomy," MPRA Paper 59450, University Library of Munich, Germany.
    39. Andrea Caggese, 2006. "Entrepreneurial risk, investment and innovation," Economics Working Papers 1011, Department of Economics and Business, Universitat Pompeu Fabra.
    40. Ruediger Bachmann & Jinhui Bai & Minjoon Lee & Fudong Zhang, 2020. "Online Appendix to "The Welfare and Distributional Effects of Fiscal Volatility: a Quantitative Evaluation"," Online Appendices 18-207, Review of Economic Dynamics.
    41. Flavia Corneli, 2009. "The Saving Glut Explanation of Global Imbalances: the Role of Underinvestment," Economics Working Papers ECO2009/41, European University Institute.
    42. Parantap Basu & Yoseph Getachew, 2020. "Redistributive innovation policy, inequality, and efficiency," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 22(3), pages 532-554, June.
    43. Fernholz, Ricardo T., 2016. "A Model of economic mobility and the distribution of wealth," Journal of Macroeconomics, Elsevier, vol. 50(C), pages 168-192.
    44. Juan Carlos Parra‐Alvarez & Olaf Posch & Mu‐Chun Wang, 2023. "Estimation of Heterogeneous Agent Models: A Likelihood Approach," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(2), pages 304-330, April.
    45. Flavia Corneli, 2017. "Medium and long term implications of financial integration without financial development," Temi di discussione (Economic working papers) 1120, Bank of Italy, Economic Research and International Relations Area.
    46. Ander Pérez Orive, 2010. "Credit Constraints, Firms' Precautionary Investment, and the Business Cycle," Working Papers 506, Barcelona School of Economics.
    47. Covas Francisco & Fujita Shigeru, 2011. "Private Equity Premium and Aggregate Uncertainty in a Model of Uninsurable Investment Risk," The B.E. Journal of Macroeconomics, De Gruyter, vol. 11(1), pages 1-36, July.
    48. Fernholz, Ricardo & Fernholz, Robert, 2014. "Instability and concentration in the distribution of wealth," Journal of Economic Dynamics and Control, Elsevier, vol. 44(C), pages 251-269.
    49. Panageas, Stavros, 2020. "The Implications of Heterogeneity and Inequality for Asset Pricing," Foundations and Trends(R) in Finance, now publishers, vol. 12(3), pages 199-275, November.
    50. Angeletos, George-Marios & Panousi, Vasia, 2009. "Revisiting the supply side effects of government spending," Journal of Monetary Economics, Elsevier, vol. 56(2), pages 137-153, March.
    51. George-Marios Angeletos, 2005. "Uninsured Idiosyncratic Investment Risk," NBER Working Papers 11180, National Bureau of Economic Research, Inc.
    52. Hori, Takeo & Im, Ryonghun, 2023. "Asset bubbles, entrepreneurial risks, and economic growth," Journal of Economic Theory, Elsevier, vol. 210(C).
    53. Christian Hellwig, 2002. "Signaling in a Global Game: Coordination and Policy Traps (J.P.E., June 2006)," UCLA Economics Online Papers 209, UCLA Department of Economics.
    54. Jonathan Heathcote & Kjetil Storesletten & Giovanni L. Violante, 2009. "Quantitative Macroeconomics with Heterogeneous Households," Annual Review of Economics, Annual Reviews, vol. 1(1), pages 319-354, May.
    55. Hiroaki OHNO, 2011. "Limited Market Participation, Financial Intermediaries,And Endogenous Growth," Review of Economics & Finance, Better Advances Press, Canada, vol. 1, pages 53-62, August.
    56. Yoseph Yilma Getachew, 2012. "Do Ak models really lack transitional dynamics?," Working Papers 2012_01, Durham University Business School.
    57. Jess Benhabib & Alberto Bisin, 2016. "Skewed Wealth Distributions: Theory and Empirics," NBER Working Papers 21924, National Bureau of Economic Research, Inc.
    58. Luo, Yulei & Gong, Liutang & Zou, Heng-fu, 2010. "A Note On Entrepreneurial Risk, Capital Market Imperfections, And Heterogeneity," Macroeconomic Dynamics, Cambridge University Press, vol. 14(2), pages 269-284, April.
    59. Getachew, Yoseph Y. & Turnovsky, Stephen J., 2020. "Redistribution, inequality, and efficiency with credit constraints: Implications for South Africa," Economic Modelling, Elsevier, vol. 93(C), pages 259-277.
    60. George-Marios Angeletos & Vasia Panousi, 2011. "Financial Integration, Entrepreneurial Risk and Global Imbalances," NBER Working Papers 16761, National Bureau of Economic Research, Inc.
    61. Yanos Zylberberg, 2011. "Capital misallocation and credit constraints: Theory and evidence from natural," PSE Working Papers halshs-00607212, HAL.
    62. Minjoon Lee & Jinhui Bai & Fudong Zhang & Ruediger Bachmann, 2014. "The Welfare Costs of Fiscal Uncertainty: a Quantitative Evaluation," 2014 Meeting Papers 744, Society for Economic Dynamics.
    63. Thesmar, David, 2009. "Contrasting Trends in Firm Volatility: Theory and Evidence," CEPR Discussion Papers 7135, C.E.P.R. Discussion Papers.
    64. Ricardo T. Fernholz, 2016. "A Statistical Model of Inequality," Papers 1601.04093, arXiv.org.
    65. Yanos Zylberberg, 2011. "Capital misallocation and credit constraints: Theory and evidence from natural," Working Papers halshs-00607212, HAL.
    66. Ander Perez, 2010. "Credit Constraints, Firms' Precautionary Investment, and the Business Cycle," 2010 Meeting Papers 1004, Society for Economic Dynamics.
    67. Alexander Karaivanov & Robert M. Townsend, 2014. "Dynamic Financial Constraints: Distinguishing Mechanism Design From Exogenously Incomplete Regimes," Econometrica, Econometric Society, vol. 82(3), pages 887-959, May.
    68. Fabia Gumbau-Brisa, 2005. "Heterogeneous beliefs and inflation dynamics: a general equilibrium approach," Working Papers 05-16, Federal Reserve Bank of Boston.
    69. Wulff, Alexander & Heinemann, Maik, 2015. "Idiosyncratic Risk, Borrowing Constraints and Financial Integration - A Discussion of Ambiguous Results," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113165, Verein für Socialpolitik / German Economic Association.
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    71. Dzhumashev, Ratbek, 2008. "Corruption and Disposable Risk," MPRA Paper 11772, University Library of Munich, Germany.
    72. Vincenzo Quadrini, 2009. "Entrepreneurship in macroeconomics," Annals of Finance, Springer, vol. 5(3), pages 295-311, June.
    73. Eva Carceles-Poveda, 2009. "Asset Prices and Business Cycles under Market Incompleteness," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 12(3), pages 405-422, July.
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  26. Laurent-Emmanuel Calvet & Adlai J. Fisher, 2002. "Multifractality in Asset Returns: Theory and Evidence," Post-Print hal-00478175, HAL.

    Cited by:

    1. Christian Walter, 2020. "Sustainable Financial Risk Modelling Fitting the SDGs: Some Reflections," Sustainability, MDPI, vol. 12(18), pages 1-28, September.
    2. Buonocore, R.J. & Aste, T. & Di Matteo, T., 2016. "Measuring multiscaling in financial time-series," Chaos, Solitons & Fractals, Elsevier, vol. 88(C), pages 38-47.
    3. Nava, Noemi & Di Matteo, T. & Aste, Tomaso, 2016. "Anomalous volatility scaling in high frequency financial data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 447(C), pages 434-445.
    4. Laurent E. Calvet & Adlai J. Fisher, 2005. "Multifrequency News and Stock Returns," NBER Working Papers 11441, National Bureau of Economic Research, Inc.
    5. Bhamra, Harjoat Singh & Kuehn, Lars-Alexander & Strebulaev, Ilya, 2018. "The Levered Equity Risk Premium and Credit Spreads: A Unified Framework," CEPR Discussion Papers 12827, C.E.P.R. Discussion Papers.
    6. Barunik, Jozef & Aste, Tomaso & Di Matteo, T. & Liu, Ruipeng, 2012. "Understanding the source of multifractality in financial markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(17), pages 4234-4251.
    7. Nikolai Leonenko & EStuart Petherick & EmanueleTaufer, 2012. "Multifractal Scaling for Risky Asset Modelling," DISA Working Papers 2012/07, Department of Computer and Management Sciences, University of Trento, Italy, revised Jul 2012.
    8. Andersen, Torben G. & Bollerslev, Tim & Christoffersen, Peter F. & Diebold, Francis X., 2006. "Volatility and Correlation Forecasting," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 1, chapter 15, pages 777-878, Elsevier.
    9. Lux, Thomas & Kaizoji, Taisei, 2006. "Forecasting volatility and volume in the Tokyo stock market: Long memory, fractality and regime switching," Economics Working Papers 2006-13, Christian-Albrechts-University of Kiel, Department of Economics.
    10. Olkhov, Victor, 2018. "Expectations, Price Fluctuations and Lorenz Attractor," MPRA Paper 89105, University Library of Munich, Germany.
    11. Zhang, Guofu & Li, Jingjing, 2018. "Multifractal analysis of Shanghai and Hong Kong stock markets before and after the connect program," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 611-622.
    12. Riccardo Junior Buonocore & Tomaso Aste & Tiziana Di Matteo, 2015. "Measuring multiscaling in financial time-series," Papers 1509.05471, arXiv.org, revised Sep 2015.
    13. Ole E. Barndorff-Nielsen & Sven Erik Graversen & Jean Jacod & Neil Shephard, 2005. "Limit theorems for bipower variation in financial econometrics," OFRC Working Papers Series 2005fe09, Oxford Financial Research Centre.
    14. Liu, Zhengli & Shang, Pengjian & Wang, Yuanyuan, 2019. "Multifractal weighted permutation analysis based on Rényi entropy for financial time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 536(C).
    15. Kunal Saha & Vinodh Madhavan & Chandrashekhar G. R. & David McMillan, 2020. "Pitfalls in long memory research," Cogent Economics & Finance, Taylor & Francis Journals, vol. 8(1), pages 1733280-173, January.
    16. Bell, Peter, 2012. "Goodness of fit test for the multifractal model of asset returns," MPRA Paper 38689, University Library of Munich, Germany.
    17. Morales, Raffaello & Di Matteo, T. & Gramatica, Ruggero & Aste, Tomaso, 2012. "Dynamical generalized Hurst exponent as a tool to monitor unstable periods in financial time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(11), pages 3180-3189.
    18. Thomas Lux, 2009. "Applications of Statistical Physics in Finance and Economics," Chapters, in: J. Barkley Rosser Jr. (ed.), Handbook of Research on Complexity, chapter 9, Edward Elgar Publishing.
    19. Segnon, Mawuli & Lux, Thomas, 2013. "Multifractal models in finance: Their origin, properties, and applications," Kiel Working Papers 1860, Kiel Institute for the World Economy (IfW Kiel).
    20. jérôme Fillol & Fabien Tripier, 2003. "The scaling function-based estimator of the long memory parameter: a comparative study," Economics Bulletin, AccessEcon, vol. 3(23), pages 1-7.
    21. Bekiros, Stelios D., 2015. "Heuristic learning in intraday trading under uncertainty," Journal of Empirical Finance, Elsevier, vol. 30(C), pages 34-49.
    22. Hasan, Rashid & Mohammad, Salim M., 2015. "Multifractal analysis of Asian markets during 2007–2008 financial crisis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 419(C), pages 746-761.
    23. Ole E. Barndorff-Nielsen & Neil Shephard, 2005. "Variation, jumps, market frictions and high frequency data in financial econometrics," Economics Papers 2005-W16, Economics Group, Nuffield College, University of Oxford.
    24. Alain Chaboud & Benjamin Chiquoine & Erik Hjalmarsson & Mico Loretan, 2008. "Frequency of observation and the estimation of integrated volatility in deep and liquid financial markets," BIS Working Papers 249, Bank for International Settlements.
    25. Nabiha Haouas, 2021. "Multifractal Analysis of the Foreign Exchange Markets Application to MENA Countries," Accounting and Finance Research, Sciedu Press, vol. 10(2), pages 1-17, May.
    26. Wang, Dong-Hua & Yu, Xiao-Wen & Suo, Yuan-Yuan, 2012. "Statistical properties of the yuan exchange rate index," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(12), pages 3503-3512.
    27. Batten, Jonathan A. & Kinateder, Harald & Wagner, Niklas, 2014. "Multifractality and value-at-risk forecasting of exchange rates," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 401(C), pages 71-81.
    28. Qun Zhang & Qunzhi Zhang & Didier Sornette, 2016. "Early Warning Signals of Financial Crises with Multi-Scale Quantile Regressions of Log-Periodic Power Law Singularities," PLOS ONE, Public Library of Science, vol. 11(11), pages 1-43, November.
    29. Kukacka, Jiri & Kristoufek, Ladislav, 2021. "Does parameterization affect the complexity of agent-based models?," Journal of Economic Behavior & Organization, Elsevier, vol. 192(C), pages 324-356.
    30. Marcin Wk{a}torek & Stanis{l}aw Dro.zd.z & Pawe{l} O'swic{e}cimka & Marek Stanuszek, 2018. "Multifractal cross-correlations between the World Oil and other Financial Markets in 2012-2017," Papers 1812.08548, arXiv.org, revised Jun 2019.
    31. Jahanshahi, Hadi & Munoz-Pacheco, Jesus M. & Bekiros, Stelios & Alotaibi, Naif D., 2021. "A fractional-order SIRD model with time-dependent memory indexes for encompassing the multi-fractional characteristics of the COVID-19," Chaos, Solitons & Fractals, Elsevier, vol. 143(C).
    32. Lux, Thomas & Kaizoji, Taisei, 2004. "Forecasting volatility and volume in the Tokyo stock market: The advantage of long memory models," Economics Working Papers 2004-05, Christian-Albrechts-University of Kiel, Department of Economics.
    33. Liuren Wu, 2006. "Dampened Power Law: Reconciling the Tail Behavior of Financial Security Returns," The Journal of Business, University of Chicago Press, vol. 79(3), pages 1445-1474, May.
    34. Xiao, Di & Wang, Jun, 2021. "Attitude interaction for financial price behaviours by contact system with small-world network topology," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 572(C).
    35. Wei-Xing Zhou, 2009. "Finite-size effect and the components of multifractality in financial volatility," Papers 0912.4782, arXiv.org.
    36. Laurent-Emmanuel Calvet & Adlai J. Fisher, 2001. "Forecasting multifractal volatility," Post-Print hal-00477952, HAL.
    37. Andersen, Torben G. & Bollerslev, Tim & Francis X. Diebold,, 2003. "Some Like it Smooth, and Some Like it Rough: Untangling Continuous and Jump Components in Measuring, Modeling, and Forecasting Asset Return Volatility," CFS Working Paper Series 2003/35, Center for Financial Studies (CFS).
    38. Un, Kuok Sin & Ausloos, Marcel, 2022. "Equity premium prediction: Taking into account the role of long, even asymmetric, swings in stock market behavior," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 608(P1).
    39. Calvet, Laurent E. & Fisher, Adlai J., 2008. "Multifrequency jump-diffusions: An equilibrium approach," Journal of Mathematical Economics, Elsevier, vol. 44(2), pages 207-226, January.
    40. John Goddard & Enrico Onali, 2016. "Long memory and multifractality: A joint test," Papers 1601.00903, arXiv.org.
    41. Xin-Lan Fu & Xing-Lu Gao & Zheng Shan & Zhi-Qiang Jiang & Wei-Xing Zhou, 2018. "Multifractal characteristics and return predictability in the Chinese stock markets," Papers 1806.07604, arXiv.org.
    42. Kukacka, Jiri & Kristoufek, Ladislav, 2020. "Do ‘complex’ financial models really lead to complex dynamics? Agent-based models and multifractality," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
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    17. Walentin Karl, 2010. "Earnings Inequality and the Equity Premium," The B.E. Journal of Macroeconomics, De Gruyter, vol. 10(1), pages 1-23, November.
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    19. Michail Anthropelos & Constantinos Kardaras, 2018. "Price Impact Under Heterogeneous Beliefs and Restricted Participation," Papers 1802.09954, arXiv.org, revised Dec 2023.
    20. Korniotis, George & Bonaparte, Yosef & Kumar, Alok, 2020. "Income Risk and Stock Market Entry/Exit Decisions," CEPR Discussion Papers 15370, C.E.P.R. Discussion Papers.
    21. Ralph S.J. Koijen & Stijn Van Nieuwerburgh, 2011. "Predictability of Returns and Cash Flows," Annual Review of Financial Economics, Annual Reviews, vol. 3(1), pages 467-491, December.
    22. Buss, Adrian & Vilkov, Grigory & Uppal, Raman, 2018. "The Implications of Financial Innovation for Capital Markets and Household Welfare," CEPR Discussion Papers 13137, C.E.P.R. Discussion Papers.
    23. Juan M. Morelli, 2021. "Limited Participation in Equity Markets and Business Cycles," Finance and Economics Discussion Series 2021-026, Board of Governors of the Federal Reserve System (U.S.).
    24. Muhammad Khalil & Santi Chaisrisawatsuk, 2018. "Relationship Between Financial and Real Sectors: Implications for Stable Economic Development (Evidence from Thailand)," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 10(6), pages 204-217, June.
    25. Anthropelos, Michail & Kardaras, Constantinos, 2024. "Price impact under heterogeneous beliefs and restricted participation," Journal of Economic Theory, Elsevier, vol. 215(C).
    26. Michael Haliassos & Dimitris Georgarakos & Yiannis Bilias, 2006. "Equity Culture and the Distribution of Wealth," Computing in Economics and Finance 2006 27, Society for Computational Economics.
    27. Anisha Ghosh & George M. Constantinides, 2014. "Prices, Consumption, and Dividends Over the Business Cycle: A Tale of Two Regimes," NBER Working Papers 20678, National Bureau of Economic Research, Inc.
    28. Roberto Cortes Conde, 2008. "Spanish America Colonial Patterns: The Rio de La Plata," Working Papers 96, Universidad de San Andres, Departamento de Economia, revised Mar 2008.
    29. Helmut Herwartz & Fang Xu, 2020. "Low Mortgage Rates and Securitization: A Distinct Perspective on the US Housing Boom," Scandinavian Journal of Economics, Wiley Blackwell, vol. 122(1), pages 164-190, January.
    30. Chaiki Hara & Atsushi Kajii, 2004. "Risk-Free Bond Prices in Incomplete Markets with Recursive Utility Functions and Multiple Beliefs," KIER Working Papers 590, Kyoto University, Institute of Economic Research.
    31. Odegaard, Bernt Arne, 2017. "Is Household Diversification Increasing in Wealth? Norwegian Evidence," UiS Working Papers in Economics and Finance 2017/7, University of Stavanger.
    32. Kawamura, Enrique, 2004. "Investors's distrust and the marketing of new financial assets," The Quarterly Review of Economics and Finance, Elsevier, vol. 44(2), pages 265-295, May.

  28. George-Marios Angeletos & Laurent E. Calvet, 2001. "Incomplete Markets, Growth, and the Business Cycle," Harvard Institute of Economic Research Working Papers 1910, Harvard - Institute of Economic Research.

    Cited by:

    1. Calvet, Laurent & Gonzalez-Eiras, Martín & Sodini, Paolo, 2004. "Financial Innovation, Market Participation, and Asset Prices," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 39(3), pages 431-459, September.
    2. Alejandro Gaytan & Romain Rancière, 2001. "Banks, liquidity crises and economic growth," Economics Working Papers 853, Department of Economics and Business, Universitat Pompeu Fabra, revised May 2003.
    3. Marcelo Bianconi, 2004. "The Welfare Gains from Stabilization in a Stochastically Growing Economy with Idiosyncratic Shocks and Flexible Labor Supply," Discussion Papers Series, Department of Economics, Tufts University 0413, Department of Economics, Tufts University.
    4. Alejandro Gaytan & Romain Rancière, 2004. "Wealth, financial intermediation and growth," Economics Working Papers 851, Department of Economics and Business, Universitat Pompeu Fabra, revised Apr 2004.
    5. Calvet, Laurent-Emmanuel & Grandmont, Jean-Michel & Lemaire, Isabelle, 2018. "Aggregation of heterogenous beliefs, asset pricing, and risk sharing in complete financial markets," Research in Economics, Elsevier, vol. 72(1), pages 117-146.
    6. George-Marios Angeletos & Vasia Panousi, 2011. "Financial Integration, Entrepreneurial Risk and Global Imbalances," NBER Working Papers 16761, National Bureau of Economic Research, Inc.

  29. Laurent Calvet & Jean-Michel Grandmont & Isabelle Lemaire, 2001. "Aggregation of Heterogenous Beliefs and Asset Pricing in Complete Financial Markets," Working Papers 2001-01, Center for Research in Economics and Statistics.

    Cited by:

    1. Atsushi Kajii & Chiaki Hara, 2003. "On the Range of the Risk-Free Interest Rate in Incomplete Markets," Levine's Bibliography 666156000000000383, UCLA Department of Economics.
    2. Chiaki Hara & James Huang & Christoph Kuzmics, 2006. "Representative Consumer's Risk Aversion and Efficient Risk-Sharing Rules," KIER Working Papers 620, Kyoto University, Institute of Economic Research.
    3. Elyès Jouini & Clotilde Napp, 2010. "Unbiased Disagreement in Financial Markets, Waves of Pessimism and the Risk-Return Trade-off," Review of Finance, European Finance Association, vol. 15(3), pages 575-601.
    4. Albert S. Kyle & Anna Obizhaeva & Yajun Wang, 2016. "Beliefs Aggregation and Return Predictability," Working Papers w0231, Center for Economic and Financial Research (CEFIR).
    5. Jouini, E. & Napp, C., 2006. "Aggregation of heterogeneous beliefs," Journal of Mathematical Economics, Elsevier, vol. 42(6), pages 752-770, September.
    6. Christian Gollier & Richard Zeckhauser, 2003. "Collective Investment Decision Making with Heterogeneous Time Preferences," NBER Working Papers 9629, National Bureau of Economic Research, Inc.
    7. Christian Gollier, 2007. "Whom should we believe? Aggregation of heterogeneous beliefs," Journal of Risk and Uncertainty, Springer, vol. 35(2), pages 107-127, October.
    8. Jouini, Elyes & Napp, Clotilde, 2006. "Heterogeneous beliefs and asset pricing in discrete time: An analysis of pessimism and doubt," Journal of Economic Dynamics and Control, Elsevier, vol. 30(7), pages 1233-1260, July.
    9. Gollier, Christian, 2003. "Who Should we Believe? Collective Risk-Taking Decisions with Heterogeneous Beliefs," IDEI Working Papers 201, Institut d'Économie Industrielle (IDEI), Toulouse.
    10. Carl Chiarella & Roberto Dieci & Tony He, 2006. "Aggregation of Heterogeneous Beliefs and Asset Pricing: A Mean-Variance Analysis," Computing in Economics and Finance 2006 108, Society for Computational Economics.
    11. Christian Gollier, 2003. "Collective Risk-Taking Decisions with Heterogeneous Beliefs," CESifo Working Paper Series 909, CESifo.
    12. Chiaki Hara, 2006. "Heterogeneous Risk Attitudes In A Continuous‐Time Model," The Japanese Economic Review, Japanese Economic Association, vol. 57(3), pages 377-405, September.
    13. Elyès Jouini & Clotilde Napp, 2008. "Are More Risk-Averse Agents More Optimistic? Insights from a Simple Rational Expectations Equilibrium Model," Post-Print halshs-00176630, HAL.
    14. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2006. "Aggregation of Heterogeneous Beliefs and Asset Pricing Theory: A Mean-Variance Analysis," Research Paper Series 186, Quantitative Finance Research Centre, University of Technology, Sydney.
    15. Elyès Jouini & Selima Ben Mansour & Clotilde Napp & Jean-Michel Marin & Christian P. Robert, 2008. "Are Risk Averse Agents More Optimistic? A Bayesian Estimation Approach," Post-Print halshs-00176629, HAL.
    16. Angus A Brown & L C G Rogers, 2010. "Diverse Beliefs," Papers 1001.1450, arXiv.org.
    17. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2011. "Do heterogeneous beliefs diversify market risk?," The European Journal of Finance, Taylor & Francis Journals, vol. 17(3), pages 241-258.
    18. Chaiki Hara & Atsushi Kajii, 2004. "Risk-Free Bond Prices in Incomplete Markets with Recursive Utility Functions and Multiple Beliefs," KIER Working Papers 590, Kyoto University, Institute of Economic Research.
    19. Albert S. Kyle & Anna Obizhaeva & Yajun Wang, 2016. "Beliefs Aggregation and Return Predictability," Working Papers w0231, New Economic School (NES).
    20. Elyès Jouini & Jean-Michel Marin & Clotilde Napp, 2010. "Discounting and Divergence of Opinion," Post-Print halshs-00176636, HAL.
    21. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2009. "A Framework for CAPM with Heterogenous Beliefs," Research Paper Series 254, Quantitative Finance Research Centre, University of Technology, Sydney.

  30. Laurent Calvet, 2000. "Forecasting Multifractal Volatility," Harvard Institute of Economic Research Working Papers 1902, Harvard - Institute of Economic Research.

    Cited by:

    1. Buonocore, R.J. & Aste, T. & Di Matteo, T., 2016. "Measuring multiscaling in financial time-series," Chaos, Solitons & Fractals, Elsevier, vol. 88(C), pages 38-47.
    2. Sattarhoff, Cristina & Gronwald, Marc, 2022. "Measuring informational efficiency of the European carbon market — A quantitative evaluation of higher order dependence," International Review of Financial Analysis, Elsevier, vol. 84(C).
    3. Mawuli Segnon & Rangan Gupta & Keagile Lesame & Mark E. Wohar, 2019. "High-Frequency Volatility Forecasting of US Housing Markets," Working Papers 201977, University of Pretoria, Department of Economics.
    4. Lux, Thomas, 2022. "Inference for Nonlinear State Space Models: A Comparison of Different Methods applied to Markov-Switching Multifractal Models," Econometrics and Statistics, Elsevier, vol. 21(C), pages 69-95.
    5. Dutta, Srimonti & Ghosh, Dipak & Chatterjee, Sucharita, 2016. "Multifractal detrended Cross Correlation Analysis of Foreign Exchange and SENSEX fluctuation in Indian perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 463(C), pages 188-201.
    6. Laurent E. Calvet & Adlai J. Fisher, 2005. "Multifrequency News and Stock Returns," NBER Working Papers 11441, National Bureau of Economic Research, Inc.
    7. Bhamra, Harjoat Singh & Kuehn, Lars-Alexander & Strebulaev, Ilya, 2018. "The Levered Equity Risk Premium and Credit Spreads: A Unified Framework," CEPR Discussion Papers 12827, C.E.P.R. Discussion Papers.
    8. Lux, Thomas & Segnon, Mawuli & Gupta, Rangan, 2016. "Forecasting crude oil price volatility and value-at-risk: Evidence from historical and recent data," Energy Economics, Elsevier, vol. 56(C), pages 117-133.
    9. Lux, Thomas & Kaizoji, Taisei, 2006. "Forecasting volatility and volume in the Tokyo stock market: Long memory, fractality and regime switching," Economics Working Papers 2006-13, Christian-Albrechts-University of Kiel, Department of Economics.
    10. Alessandro Rossi & Giampiero M. Gallo, 2002. "Volatility Estimation via Hidden Markov Models," Econometrics Working Papers Archive wp2002_14, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
    11. Lux, Thomas & Morales-Arias, Leonardo, 2010. "Forecasting volatility under fractality, regime-switching, long memory and student-t innovations," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2676-2692, November.
    12. Lux, Thomas & Morales-Arias, Leonardo, 2010. "Relative forecasting performance of volatility models: Monte Carlo evidence," Kiel Working Papers 1582, Kiel Institute for the World Economy (IfW Kiel).
    13. Troy Tassier, 2013. "Handbook of Research on Complexity, by J. Barkley Rosser, Jr. and Edward Elgar," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 39(1), pages 132-133.
    14. Mawuli Segnon & Mark Trede, 2017. "Forecasting Market Risk of Portfolios: Copula-Markov Switching Multifractal Approach," CQE Working Papers 6617, Center for Quantitative Economics (CQE), University of Muenster.
    15. Friedrich Wagner, 2011. "Market clearing by maximum entropy in agent models of stock markets," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 6(2), pages 121-138, November.
    16. Donatien Hainaut & Yang Shen & Yan Zeng, 2018. "How do capital structure and economic regime affect fair prices of bank’s equity and liabilities?," Annals of Operations Research, Springer, vol. 262(2), pages 519-545, March.
    17. Thomas Lux, 2009. "Applications of Statistical Physics in Finance and Economics," Chapters, in: J. Barkley Rosser Jr. (ed.), Handbook of Research on Complexity, chapter 9, Edward Elgar Publishing.
    18. Lahmiri, Salim, 2017. "Multifractal analysis of Moroccan family business stock returns," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 486(C), pages 183-191.
    19. Segnon, Mawuli & Lux, Thomas, 2013. "Multifractal models in finance: Their origin, properties, and applications," Kiel Working Papers 1860, Kiel Institute for the World Economy (IfW Kiel).
    20. Fryzlewicz, Piotr & Nason, Guy P., 2004. "Smoothing the wavelet periodogram using the Haar-Fisz transform," LSE Research Online Documents on Economics 25231, London School of Economics and Political Science, LSE Library.
    21. Wang, Yudong & Wu, Chongfeng & Yang, Li, 2016. "Forecasting crude oil market volatility: A Markov switching multifractal volatility approach," International Journal of Forecasting, Elsevier, vol. 32(1), pages 1-9.
    22. Wei, Yu & Wang, Yudong & Huang, Dengshi, 2011. "A copula–multifractal volatility hedging model for CSI 300 index futures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(23), pages 4260-4272.
    23. Fryzlewicz, Piotr & Nason, Guy P., 2006. "Haar-Fisz estimation of evolutionary wavelet spectra," LSE Research Online Documents on Economics 25227, London School of Economics and Political Science, LSE Library.
    24. Segnon, Mawuli & Lux, Thomas & Gupta, Rangan, 2017. "Modeling and forecasting the volatility of carbon dioxide emission allowance prices: A review and comparison of modern volatility models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 692-704.
    25. Alain Chaboud & Benjamin Chiquoine & Erik Hjalmarsson & Mico Loretan, 2008. "Frequency of observation and the estimation of integrated volatility in deep and liquid financial markets," BIS Working Papers 249, Bank for International Settlements.
    26. Laurent-Emmanuel Calvet & Veronika Czellar, 2011. "State-Observation Sampling and the Econometrics of Learning Models," Working Papers hal-00625500, HAL.
    27. Hainaut, Donatien, 2014. "Impulse control of pension fund contributions, in a regime switching economy," European Journal of Operational Research, Elsevier, vol. 239(3), pages 810-819.
    28. Harjoat S. Bhamra & Lars-Alexander Kuehn & Ilya A. Strebulaev, 2010. "Long Run Risks, Credit Markets, and Financial Structure," American Economic Review, American Economic Association, vol. 100(2), pages 547-551, May.
    29. Batten, Jonathan A. & Kinateder, Harald & Wagner, Niklas, 2014. "Multifractality and value-at-risk forecasting of exchange rates," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 401(C), pages 71-81.
    30. Kukacka, Jiri & Kristoufek, Ladislav, 2021. "Does parameterization affect the complexity of agent-based models?," Journal of Economic Behavior & Organization, Elsevier, vol. 192(C), pages 324-356.
    31. Oriol Pont & Antonio Turiel & Conrad J. Perez-Vicente, 2009. "Description, modeling and forecasting of data with optimal wavelets," Post-Print inria-00438526, HAL.
    32. D. Sornette, 2014. "Physics and Financial Economics (1776-2014): Puzzles, Ising and Agent-Based models," Papers 1404.0243, arXiv.org.
    33. Lux, Thomas & Kaizoji, Taisei, 2004. "Forecasting volatility and volume in the Tokyo stock market: The advantage of long memory models," Economics Working Papers 2004-05, Christian-Albrechts-University of Kiel, Department of Economics.
    34. Xiao, Di & Wang, Jun, 2021. "Attitude interaction for financial price behaviours by contact system with small-world network topology," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 572(C).
    35. Subbotin, Alexandre, 2009. "Volatility Models: from Conditional Heteroscedasticity to Cascades at Multiple Horizons," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 15(3), pages 94-138.
    36. Bjoern Schulte-Tillmann & Mawuli Segnon & Timo Wiedemann, 2023. "A comparison of high-frequency realized variance measures: Duration- vs. return-based approaches," CQE Working Papers 10523, Center for Quantitative Economics (CQE), University of Muenster.
    37. Andersen, Torben G. & Bollerslev, Tim & Francis X. Diebold,, 2003. "Some Like it Smooth, and Some Like it Rough: Untangling Continuous and Jump Components in Measuring, Modeling, and Forecasting Asset Return Volatility," CFS Working Paper Series 2003/35, Center for Financial Studies (CFS).
    38. Calvet, Laurent E. & Fisher, Adlai J., 2008. "Multifrequency jump-diffusions: An equilibrium approach," Journal of Mathematical Economics, Elsevier, vol. 44(2), pages 207-226, January.
    39. John Goddard & Enrico Onali, 2016. "Long memory and multifractality: A joint test," Papers 1601.00903, arXiv.org.
    40. Sattarhoff, Cristina & Lux, Thomas, 2021. "Forecasting the Variability of Stock Index Returns with the Multifractal Random Walk Model for Realized Volatilities," Economics Working Papers 2021-02, Christian-Albrechts-University of Kiel, Department of Economics.
    41. Xin-Lan Fu & Xing-Lu Gao & Zheng Shan & Zhi-Qiang Jiang & Wei-Xing Zhou, 2018. "Multifractal characteristics and return predictability in the Chinese stock markets," Papers 1806.07604, arXiv.org.
    42. Kukacka, Jiri & Kristoufek, Ladislav, 2020. "Do ‘complex’ financial models really lead to complex dynamics? Agent-based models and multifractality," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    43. Mawuli Segnon & Stelios Bekiros & Bernd Wilfling, 2018. "Forecasting Inflation Uncertainty in the G7 Countries," CQE Working Papers 7118, Center for Quantitative Economics (CQE), University of Muenster.
    44. Fernandes, Leonardo H.S. & de Araújo, Fernando H.A. & Silva, Igor E.M., 2020. "The (in)efficiency of NYMEX energy futures: A multifractal analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 556(C).
    45. Thierry Bochud & Damien Challet, 2007. "Optimal approximations of power laws with exponentials: application to volatility models with long memory," Quantitative Finance, Taylor & Francis Journals, vol. 7(6), pages 585-589.
    46. Sattarhoff, Cristina & Lux, Thomas, 2023. "Forecasting the variability of stock index returns with the multifractal random walk model for realized volatilities," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1678-1697.
    47. Calvet, Laurent E. & Czellar, Veronika, 2015. "Through the looking glass: Indirect inference via simple equilibria," Journal of Econometrics, Elsevier, vol. 185(2), pages 343-358.
    48. Lux, Thomas, 2003. "The multi-fractal model of asset returns: Its estimation via GMM and its use for volatility forecasting," Economics Working Papers 2003-13, Christian-Albrechts-University of Kiel, Department of Economics.
    49. Marina Resta & Davide Sciutti, "undated". "A characterization of self-affine processes in finance through the scaling function," Modeling, Computing, and Mastering Complexity 2003 13, Society for Computational Economics.
    50. Mawuli Segnon & Stelios Bekiros, 2020. "Forecasting volatility in bitcoin market," Annals of Finance, Springer, vol. 16(3), pages 435-462, September.
    51. Akash P. POOJARI & Siva Kiran GUPTHA & G Raghavender RAJU, 2022. "Multifractal analysis of equities. Evidence from the emerging and frontier banking sectors," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(3(632), A), pages 61-80, Autumn.
    52. Krause, Sebastian M. & Bornholdt, Stefan, 2013. "Spin models as microfoundation of macroscopic market models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(18), pages 4048-4054.
    53. Tommaso Proietti, 2014. "Exponential Smoothing, Long Memory and Volatility Prediction," CEIS Research Paper 319, Tor Vergata University, CEIS, revised 30 Jul 2014.
    54. Segnon, Mawuli & Lux, Thomas & Gupta, Rangan, 2015. "Modeling and Forecasting Carbon Dioxide Emission Allowance Spot Price Volatility: Multifractal vs. GARCH-type Volatility Models," FinMaP-Working Papers 46, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    55. Federico M. Bandi & Bernard Perron & Andrea Tamoni & Claudio Tebaldi, 2014. "The scale of predictability," Working Papers 509, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    56. Laurent-Emmanuel Calvet & Adlai J. Fisher & Samuel B. Thompson, 2006. "Volatility Comovement: a multifrequency approach," Post-Print hal-00459667, HAL.
    57. Torben G. Andersen & Tim Bollerslev & Francis X. Diebold, 2007. "Roughing It Up: Including Jump Components in the Measurement, Modeling, and Forecasting of Return Volatility," The Review of Economics and Statistics, MIT Press, vol. 89(4), pages 701-720, November.
    58. Oriol Pont & Antonio Turiel & Conrad Perez-Vicente, 2009. "Description, modelling and forecasting of data with optimal wavelets," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 4(1), pages 39-54, June.
    59. Caraiani, Petre & Haven, Emmanuel, 2015. "Evidence of multifractality from CEE exchange rates against Euro," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 419(C), pages 395-407.
    60. Siddhartha Chib & Yasuhiro Omori & Manabu Asai, 2007. "Multivariate stochastic volatility (Revised in May 2007, Handbook of Financial Time Series (Published in "Handbook of Financial Time Series" (eds T.G. Andersen, R.A. Davis, Jens-Peter Kreiss," CARF F-Series CARF-F-094, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    61. Alexander Subbotin & Thierry Chauveau & Kateryna Shapovalova, 2009. "Volatility Models: from GARCH to Multi-Horizon Cascades," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00390636, HAL.
    62. Eric M. Aldrich & Indra Heckenbach & Gregory Laughlin, 2014. "A Compound Multifractal Model for High-Frequency Asset Returns," BYU Macroeconomics and Computational Laboratory Working Paper Series 2014-05, Brigham Young University, Department of Economics, BYU Macroeconomics and Computational Laboratory.
    63. Céline Azizieh & Wolfgang Breymann, 2005. "Estimation of the Stylized Facts of a Stochastic Cascade Model," Working Papers CEB 05-009.RS, ULB -- Universite Libre de Bruxelles.
    64. Tibor Szkaliczki & Anita Sobe & Wilfried Elmenreich, 2016. "Convergence and monotonicity of the hormone levels in a hormone-based content delivery system," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 24(4), pages 939-964, December.
    65. Wei, Yu & Chen, Wang & Lin, Yu, 2013. "Measuring daily Value-at-Risk of SSEC index: A new approach based on multifractal analysis and extreme value theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(9), pages 2163-2174.
    66. Hainaut, Donatien & Moraux, Franck, 2019. "A switching self-exciting jump diffusion process for stock prices," LIDAM Reprints ISBA 2019017, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    67. Cheng, Fangzheng & Fan, Tijun & Fan, Dandan & Li, Shanling, 2018. "The prediction of oil price turning points with log-periodic power law and multi-population genetic algorithm," Energy Economics, Elsevier, vol. 72(C), pages 341-355.
    68. Tao, Qizhi & Wei, Yu & Liu, Jiapeng & Zhang, Ting, 2018. "Modeling and forecasting multifractal volatility established upon the heterogeneous market hypothesis," International Review of Economics & Finance, Elsevier, vol. 54(C), pages 143-153.
    69. Liu, Ruipeng & Di Matteo, T. & Lux, Thomas, 2007. "True and apparent scaling: The proximity of the Markov-switching multifractal model to long-range dependence," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 383(1), pages 35-42.
    70. Idier, J., 2008. "Long term vs. short term comovements in stock markets: the use of Markov-switching multifractal models," Working papers 218, Banque de France.
    71. R. Fernández-Pascual & M. Ruiz-Medina & J. Angulo, 2003. "Multiscale estimation of processes related to the fractional Black-Scholes equation," Computational Statistics, Springer, vol. 18(3), pages 401-415, September.
    72. Selçuk, Faruk & Gençay, Ramazan, 2006. "Intraday dynamics of stock market returns and volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 367(C), pages 375-387.
    73. Milan Fičura, 2017. "Forecasting Stock Market Realized Variance with Echo State Neural Networks," European Financial and Accounting Journal, Prague University of Economics and Business, vol. 2017(3), pages 145-155.
    74. Liu, Ruipeng & Lux, Thomas, 2010. "Flexible and robust modelling of volatility comovements: a comparison of two multifractal models," Kiel Working Papers 1594, Kiel Institute for the World Economy (IfW Kiel).
    75. Bekaert, Geert & Engstrom, Eric & Ermolov, Andrey, 2015. "Bad environments, good environments: A non-Gaussian asymmetric volatility model," Journal of Econometrics, Elsevier, vol. 186(1), pages 258-275.
    76. Thomas Lux & Mawuli K. Segnon & Rangan Gupta, 2015. "Modeling and Forecasting Crude Oil Price Volatility: Evidence from Historical and Recent Data," Working Papers 201511, University of Pretoria, Department of Economics.
    77. Laurent Calvet & Adlai Fisher, 2003. "Regime-Switching and the Estimation of Multifractal Processes," NBER Working Papers 9839, National Bureau of Economic Research, Inc.
    78. Charles, Amélie & Darné, Olivier, 2017. "Forecasting crude-oil market volatility: Further evidence with jumps," Energy Economics, Elsevier, vol. 67(C), pages 508-519.
    79. Yuan, Ying & Zhang, Tonghui, 2020. "Forecasting stock market in high and low volatility periods: a modified multifractal volatility approach," Chaos, Solitons & Fractals, Elsevier, vol. 140(C).
    80. Nasr, Adnen Ben & Lux, Thomas & Ajm, Ahdi Noomen & Gupta, Rangan, 2014. "Forecasting the volatility of the dow jones islamic stock market index: Long memory vs. regime switching," Economics Working Papers 2014-07, Christian-Albrechts-University of Kiel, Department of Economics.
    81. Aldrich, Eric M. & Heckenbach, Indra & Laughlin, Gregory, 2016. "A compound duration model for high-frequency asset returns," Journal of Empirical Finance, Elsevier, vol. 39(PA), pages 105-128.
    82. M. Rypdal & O. L{o}vsletten, 2011. "Multifractal modeling of short-term interest rates," Papers 1111.5265, arXiv.org.
    83. Chen, Fei & Diebold, Francis X. & Schorfheide, Frank, 2013. "A Markov-switching multifractal inter-trade duration model, with application to US equities," Journal of Econometrics, Elsevier, vol. 177(2), pages 320-342.
    84. Czellar, Veronika & Frazier, David T. & Renault, Eric, 2022. "Approximate maximum likelihood for complex structural models," Journal of Econometrics, Elsevier, vol. 231(2), pages 432-456.
    85. Lux, Thomas & Alfarano, Simone, 2016. "Financial power laws: Empirical evidence, models, and mechanisms," Chaos, Solitons & Fractals, Elsevier, vol. 88(C), pages 3-18.
    86. Lux, Thomas & Morales-Arias, Leonardo, 2009. "Forecasting volatility under fractality, regime-switching, long memory and student-t innovations," Kiel Working Papers 1532, Kiel Institute for the World Economy (IfW Kiel).
    87. Mawuli Segnon & Chi Keung Lau & Bernd Wilfling & Rangan Gupta, 2017. "Are multifractal processes suited to forecasting electricity price volatility? Evidence from Australian intraday data," CQE Working Papers 6117, Center for Quantitative Economics (CQE), University of Muenster.
    88. Krenar Avdulaj & Ladislav Kristoufek, 2020. "On Tail Dependence and Multifractality," Mathematics, MDPI, vol. 8(10), pages 1-13, October.
    89. Lux, Thomas & Morales-Arias, Leonardo & Sattarhoff, Cristina, 2011. "A Markov-switching multifractal approach to forecasting realized volatility," Kiel Working Papers 1737, Kiel Institute for the World Economy (IfW Kiel).
    90. Lux, Thomas, 2008. "Applications of statistical physics in finance and economics," Kiel Working Papers 1425, Kiel Institute for the World Economy (IfW Kiel).
    91. Mawuli Segnon & Manuel Stapper, 2019. "Long Memory Conditional Heteroscedasticity in Count Data," CQE Working Papers 8219, Center for Quantitative Economics (CQE), University of Muenster.
    92. DIAF, Sami, 2015. "Multifractal Random Walk Models: Application to the Algerian Dinar exchange rates," MPRA Paper 67619, University Library of Munich, Germany.
    93. Dai Pra, P. & Pigato, P., 2015. "Multi-scaling of moments in stochastic volatility models," Stochastic Processes and their Applications, Elsevier, vol. 125(10), pages 3725-3747.
    94. Didier SORNETTE, 2014. "Physics and Financial Economics (1776-2014): Puzzles, Ising and Agent-Based Models," Swiss Finance Institute Research Paper Series 14-25, Swiss Finance Institute.
    95. Donatien Hainaut & Yan Shen & Yan Zeng, 2016. "How do capital structure and economic regime affect fair prices of bank's equity and liabilities?," Post-Print hal-01394133, HAL.
    96. Eisler, Z. & Kertész, J., 2004. "Multifractal model of asset returns with leverage effect," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 343(C), pages 603-622.
    97. Lux, Thomas, 2013. "Exact solutions for the transient densities of continuous-time Markov switching models: With an application to the poisson multifractal model," Kiel Working Papers 1871, Kiel Institute for the World Economy (IfW Kiel).
    98. Thomas Lux & Leonardo Morales-Arias, 2013. "Relative forecasting performance of volatility models: Monte Carlo evidence," Quantitative Finance, Taylor & Francis Journals, vol. 13(9), pages 1375-1394, September.
    99. Rypdal, Martin & Løvsletten, Ola, 2013. "Modeling electricity spot prices using mean-reverting multifractal processes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(1), pages 194-207.
    100. Calvet, Laurent E. & Fearnley, Marcus & Fisher, Adlai J. & Leippold, Markus, 2015. "What is beneath the surface? Option pricing with multifrequency latent states," Journal of Econometrics, Elsevier, vol. 187(2), pages 498-511.
    101. Lux, Thomas, 2018. "Inference for nonlinear state space models: A comparison of different methods applied to Markov-switching multifractal models," Economics Working Papers 2018-07, Christian-Albrechts-University of Kiel, Department of Economics.
    102. Lee, Hojin & Chang, Woojin, 2015. "Multifractal regime detecting method for financial time series," Chaos, Solitons & Fractals, Elsevier, vol. 70(C), pages 117-129.
    103. Siddhartha Chib & Yasuhiro Omori & Manabu Asai, 2007. "Multivariate stochastic volatility," CIRJE F-Series CIRJE-F-488, CIRJE, Faculty of Economics, University of Tokyo.
    104. Massimo Guidolin, 2013. "Markov switching models in asset pricing research," Chapters, in: Adrian R. Bell & Chris Brooks & Marcel Prokopczuk (ed.), Handbook of Research Methods and Applications in Empirical Finance, chapter 1, pages 3-44, Edward Elgar Publishing.
    105. L. Borland & J. -Ph. Bouchaud, 2005. "On a multi-timescale statistical feedback model for volatility fluctuations," Papers physics/0507073, arXiv.org.
    106. Liu, Ruipeng & Lux, Thomas, 2017. "Generalized Method of Moment estimation of multivariate multifractal models," Economic Modelling, Elsevier, vol. 67(C), pages 136-148.
    107. Benoit Pochard & Jean-Philippe Bouchaud, 2003. "Option pricing and hedging with minimum expected shortfall," Science & Finance (CFM) working paper archive 500029, Science & Finance, Capital Fund Management.
    108. Lisa Borland & Jean-Philippe Bouchaud, 2005. "On a multi-timescale statistical feedback model for volatility fluctuations," Science & Finance (CFM) working paper archive 500059, Science & Finance, Capital Fund Management.
    109. Ruipeng Liu & Mawuli Segnon & Oguzhan Cepni & Rangan Gupta, 2023. "Forecasting Volatility of Commodity, Currency, and Stock Markets: Evidence from Markov Switching Multifractal Models," Working Papers 202340, University of Pretoria, Department of Economics.
    110. Chen, Wang & Wei, Yu & Lang, Qiaoqi & Lin, Yu & Liu, Maojuan, 2014. "Financial market volatility and contagion effect: A copula–multifractal volatility approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 398(C), pages 289-300.
    111. Ola L{o}vsletten & Martin Rypdal, 2012. "A multifractal approach towards inference in finance," Papers 1202.5376, arXiv.org.
    112. Maganini, Natália Diniz & Da Silva Filho, Antônio Carlos & Lima, Fabiano Guasti, 2018. "Investigation of multifractality in the Brazilian stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 497(C), pages 258-271.
    113. Christophe Schinckus, 2011. "What can econophysics contribute to financial economics?," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 58(2), pages 147-163, June.
    114. Antonio Doria, Francisco, 2011. "J.B. Rosser Jr. , Handbook of Research on Complexity, Edward Elgar, Cheltenham, UK--Northampton, MA, USA (2009) 436 + viii pp., index, ISBN 978 1 84542 089 5 (cased)," Journal of Economic Behavior & Organization, Elsevier, vol. 78(1-2), pages 196-204, April.
    115. Grobys, Klaus, 2023. "A multifractal model of asset (in)variances," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 85(C).
    116. Herrera, Ana María & Hu, Liang & Pastor, Daniel, 2018. "Forecasting crude oil price volatility," International Journal of Forecasting, Elsevier, vol. 34(4), pages 622-635.
    117. Ahmad Yamin S & Paya Ivan, 2020. "Temporal aggregation of random walk processes and implications for economic analysis," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(2), pages 1-20, April.
    118. Lee, Hojin & Song, Jae Wook & Chang, Woojin, 2016. "Multifractal Value at Risk model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 451(C), pages 113-122.
    119. Hainaut, Donatien, 2013. "A fractal version of the Hull–White interest rate model," Economic Modelling, Elsevier, vol. 31(C), pages 323-334.
    120. Zoltan Eisler & Janos Kertesz, 2004. "Multifractal model of asset returns with leverage effect," Papers cond-mat/0403767, arXiv.org, revised May 2004.
    121. Mawuli Segnon & Stelios Bekiros, 2019. "Forecasting Volatility in Cryptocurrency Markets," CQE Working Papers 7919, Center for Quantitative Economics (CQE), University of Muenster.

  31. Laurent E. Calvet & Etienne Comon, 2000. "Behavioral Heterogeneity and The Income Effect," Harvard Institute of Economic Research Working Papers 1892, Harvard - Institute of Economic Research.

    Cited by:

    1. Khed, V. & K.b., U., 2018. "Application of AIDS model to analyse the farm household food demand elasticity: Evidence from panel data," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 275899, International Association of Agricultural Economists.
    2. Andreas Chai & Elena Stepanova & Alessio Moneta, 2022. "Quantifying Expenditure Hierarchies and the Expansion of Global Consumption Diversity," LEM Papers Series 2022/29, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    3. Arthur Lewbel & Krishna Pendakur, 2017. "Unobserved Preference Heterogeneity in Demand Using Generalized Random Coefficients," Journal of Political Economy, University of Chicago Press, vol. 125(4), pages 1100-1148.
    4. Jean-Michel Grandmont, 2017. "Behavioral Heterogeneity: Pareto Distributions of Homothetic Preference Scales and Aggregate Expenditures Income Elasticities," Discussion Paper Series DP2017-31, Research Institute for Economics & Business Administration, Kobe University.
    5. Andreas Chai & Alessio Moneta, 2011. "Back to Engel? Some evidence for the hierarchy of needs," Papers on Economics and Evolution 2011-13, Philipps University Marburg, Department of Geography.
    6. Grinstein-Weiss, Michal & Wagner, Kristen & Ssewamala, Fred M., 2006. "Saving and asset accumulation among low-income families with children in IDAs," Children and Youth Services Review, Elsevier, vol. 28(2), pages 193-211, February.
    7. Mette Christensen, 2007. "Integrability of Demand Accounting for Unobservable Heterogeneity: A Test on Panel Data," Economics Discussion Paper Series 0713, Economics, The University of Manchester.
    8. Alexander Osharin & Valery Verbus, 2018. "Heterogeneity of consumer preferences and trade patterns in a monopolistically competitive setting," Journal of Economics, Springer, vol. 125(3), pages 211-237, November.
    9. David Finck & Peter Tillmann, 2020. "Pandemic Shocks and Household Spending," MAGKS Papers on Economics 202036, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    10. Sarantis Tsiaplias, 2017. "The Welfare Implications of Unobserved Heterogeneity," Melbourne Institute Working Paper Series wp2017n21, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    11. Isabel Proenca, 2005. "A Simple Deconvolving Kernel Density Estimator when Noise is Gaussian," Econometrics 0508006, University Library of Munich, Germany.
    12. John Quah, 2006. "Weak axiomatic demand theory," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 29(3), pages 677-699, November.
    13. D'Amato, Alessio & Mancinelli, Susanna & Zoli, Mariangela, 2016. "Complementarity vs substitutability in waste management behaviors," Ecological Economics, Elsevier, vol. 123(C), pages 84-94.
    14. Andreas Chai & Nicholas Rohde & Jacques Silber, 2015. "Measuring The Diversity Of Household Spending Patterns," Journal of Economic Surveys, Wiley Blackwell, vol. 29(3), pages 423-440, July.
    15. Koulovatianos, Christos & Schröder, Carsten & Schmidt, Ulrich, 2019. "Do demographics prevent consumption aggregates from reflecting micro-level preferences?," European Economic Review, Elsevier, vol. 111(C), pages 166-190.
    16. Murata, Yasusada, 2007. "Taste heterogeneity and the scale of production: Fragmentation, unification, and segmentation," Journal of Urban Economics, Elsevier, vol. 62(1), pages 135-160, July.
    17. Ludo Peeters, 2011. "Controlling For Heterogeneity And Asymmetry In Cross-Section Gravity Models Of Aggregate Migration: Evidence From Mexico," ERSA conference papers ersa10p329, European Regional Science Association.
    18. David Finck & Peter Tillmann, 2022. "Pandemic Shocks and Household Spending," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(2), pages 273-299, April.
    19. Takashi Unayama, 2006. "The Engel curve for alcohol and the rank of demand systems," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(7), pages 1019-1038, November.
    20. Panayiota Lyssiotou & Panos Pashardes & Thanasis Stengos, 2008. "Demographic versus expenditure flexibility in Engel curves," Empirical Economics, Springer, vol. 34(2), pages 257-271, March.
    21. Stephan B. Bruns & Alessio Moneta, 2017. "Intertemporal propensity to consume," Journal of Evolutionary Economics, Springer, vol. 27(2), pages 295-314, April.
    22. Pablo del Río & Desiderio Romero & Marta Jorge & Mercedes Burguillo, 2012. "Territorial differences for transport fuel demand in Spain: an econometric study," Chapters, in: Larry Kreiser & Ana Yábar Sterling & Pedro Herrera & Janet E. Milne & Hope Ashiabor (ed.), Green Taxation and Environmental Sustainability, chapter 4, pages 56-68, Edward Elgar Publishing.
    23. Romero-Jordán, Desiderio & del Río, Pablo & Jorge-García, Marta & Burguillo, Mercedes, 2010. "Price and income elasticities of demand for passenger transport fuels in Spain. Implications for public policies," Energy Policy, Elsevier, vol. 38(8), pages 3898-3909, August.

  32. Laurent E. Calvet, 1999. "Incomplete Markets and Volatility," Harvard Institute of Economic Research Working Papers 1865, Harvard - Institute of Economic Research.

    Cited by:

    1. Acharya, Sushant & CHALLE, Edouard & Dogra, Keshav, 2020. "Optimal Monetary Policy According to HANK," CEPR Discussion Papers 14429, C.E.P.R. Discussion Papers.
    2. Pierpaolo Benigno & Gauti B. Eggertsson & Federica Romei, 2020. "Dynamic Debt Deleveraging and Optimal Monetary Policy," American Economic Journal: Macroeconomics, American Economic Association, vol. 12(2), pages 310-350, April.
    3. Juan-Carlos Cordoba, 2004. "Debt-Constraints or Incomplete Markets? A Decomposition of the Wealth and Consumption Inequality in the U.S," Macroeconomics 0404004, University Library of Munich, Germany.
    4. Calvet, Laurent & Gonzalez-Eiras, Martín & Sodini, Paolo, 2004. "Financial Innovation, Market Participation, and Asset Prices," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 39(3), pages 431-459, September.
    5. Alessandro Citanna & Karl Schmedders, 2002. "Controlling Price Volatility Through Financial Innovation," Discussion Papers 1338, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    6. Laurent-Emmanuel Calvet & George-Marios Angeletos, 2006. "Idiosyncratic Production Risk, Growth and the Business Cycle," Post-Print halshs-00119533, HAL.
    7. sunanda roy, 2005. "Asset prices and capital accumulation in a monetary economy with incomplete markets," GE, Growth, Math methods 0508002, University Library of Munich, Germany.
    8. Kim Weston & Gordan Zitkovic, 2018. "An incomplete equilibrium with a stochastic annuity," Papers 1809.05947, arXiv.org.
    9. Carsten Nielsen, 2011. "Price stabilizing, Pareto improving policies," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 47(2), pages 459-500, June.
    10. David K. Levine & William Zame, 2001. "Does Market Incompleteness Matter," Levine's Working Paper Archive 78, David K. Levine.
    11. Singh, Aarti, 2008. "Human capital risk in life-cycle economies," MPRA Paper 10292, University Library of Munich, Germany.
    12. Brendan K. Beare & Alexis Akira Toda, 2022. "Determination of Pareto Exponents in Economic Models Driven by Markov Multiplicative Processes," Econometrica, Econometric Society, vol. 90(4), pages 1811-1833, July.
    13. Calvet, Laurent E. & Fisher, Adlai J., 2008. "Multifrequency jump-diffusions: An equilibrium approach," Journal of Mathematical Economics, Elsevier, vol. 44(2), pages 207-226, January.
    14. Tom Krebs, 2006. "Recursive equilibrium in endogenous growth models with incomplete markets," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 29(3), pages 505-523, November.
    15. Yulei Luo & Jun Nie & Heng-fu Zou, 2021. "Wealth in the Utility Function and Consumption Inequality," Research Working Paper RWP 21-17, Federal Reserve Bank of Kansas City.
    16. Angeletos, George-Marios & Calvet, Laurent-Emmanuel, 2005. "Incomplete-market dynamics in a neoclassical production economy," Journal of Mathematical Economics, Elsevier, vol. 41(4-5), pages 407-438, August.
    17. sunanda roy, 2007. "On price uncertainty, nominal assets and uninsurable idiosyncratic risks," Economics Bulletin, AccessEcon, vol. 4(32), pages 1-17.
    18. Ratbek Dzhumashev, 2007. "Corruption, Uncertainty And Growth," Monash Economics Working Papers 15-07, Monash University, Department of Economics.
    19. Luo, Yulei & Nie, Jun & Young, Eric, 2017. "Robustness, Low Risk-Free Rates, and Consumption Volatility in General Equilibrium," MPRA Paper 80046, University Library of Munich, Germany.
    20. Phelan, Gregory & Toda, Alexis Akira, 2019. "Securitized markets, international capital flows, and global welfare," Journal of Financial Economics, Elsevier, vol. 131(3), pages 571-592.
    21. Hervé Crès & Tobias Markeprand & Mich Tvede, 2009. "Incomplete Financial Markets and Jumps in Asset Prices," Discussion Papers 09-12, University of Copenhagen. Department of Economics.
    22. Kim Weston, 2017. "Existence of a Radner equilibrium in a model with transaction costs," Papers 1702.01706, arXiv.org, revised Feb 2018.
    23. Cazzavillan, Guido & Pintus, Patrick A., 2005. "On competitive cycles and sunspots in productive economies with a positive money stock," Research in Economics, Elsevier, vol. 59(2), pages 137-147, June.
    24. Christensen, Peter Ove & Larsen, Kasper & Munk, Claus, 2012. "Equilibrium in securities markets with heterogeneous investors and unspanned income risk," Journal of Economic Theory, Elsevier, vol. 147(3), pages 1035-1063.
    25. Toda, Alexis Akira, 2014. "Incomplete market dynamics and cross-sectional distributions," Journal of Economic Theory, Elsevier, vol. 154(C), pages 310-348.
    26. Dzhumashev, Ratbek, 2008. "Corruption and Disposable Risk," MPRA Paper 11772, University Library of Munich, Germany.
    27. Luo, Yulei & Nie, Jun & Wang, Haijun, 2022. "Ignorance, pervasive uncertainty, and household finance," Journal of Economic Theory, Elsevier, vol. 199(C).
    28. Toda, Alexis Akira, 2017. "Huggett economies with multiple stationary equilibria," Journal of Economic Dynamics and Control, Elsevier, vol. 84(C), pages 77-90.
    29. Kim Weston & Gordan Žitković, 2020. "An incomplete equilibrium with a stochastic annuity," Finance and Stochastics, Springer, vol. 24(2), pages 359-382, April.
    30. Chaiki Hara & Atsushi Kajii, 2004. "Risk-Free Bond Prices in Incomplete Markets with Recursive Utility Functions and Multiple Beliefs," KIER Working Papers 590, Kyoto University, Institute of Economic Research.
    31. Xiao Chen & Jin Hyuk Choi & Kasper Larsen & Duane J. Seppi, 2023. "Price impact in Nash equilibria," Finance and Stochastics, Springer, vol. 27(2), pages 305-340, April.
    32. Carsten Krabbe Nielsen, 2004. "Stabilizing, Pareto Improving Policies in an OLG model with Incomplete Markets: The Rational Expectations and Rational Beliefs Case," Econometric Society 2004 Far Eastern Meetings 617, Econometric Society.
    33. George-Marios Angeletos & Laurent E. Calvet, 2001. "Incomplete Markets, Growth, and the Business Cycle," Harvard Institute of Economic Research Working Papers 1910, Harvard - Institute of Economic Research.

  33. CALVET, Laurent & GRANDMONT, Jean-Michel & LEMAIRE, Isabelle, 1998. "Heterogeneous probabilities in complete asset markets," LIDAM Discussion Papers CORE 1998019, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Gael Giraud & Isabelle Maret, 2001. "Behavioral Heterogeneity in Large Economies," Working Papers of BETA 2001-08, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    2. Gaël GIRAUD & Isabelle MARET, 2005. "The Exact Insensitivity of Market Budget Shares and the 'Balancing Effect'," Working Papers of BETA 2005-02, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    3. Gael GIRAUD & Isabelle MARET, 2002. "Modelling Behavioral Heterogeneity," Working Papers of BETA 2002-22, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.

  34. Laurent Calvet & Adlai Fisher & Benoit Mandelbrot, 1997. "Large Deviations and the Distribution of Price Changes," Cowles Foundation Discussion Papers 1165, Cowles Foundation for Research in Economics, Yale University.

    Cited by:

    1. Oświe¸cimka, P. & Kwapień, J. & Drożdż, S., 2005. "Multifractality in the stock market: price increments versus waiting times," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 347(C), pages 626-638.
    2. Lux, Thomas & Kaizoji, Taisei, 2006. "Forecasting volatility and volume in the Tokyo stock market: Long memory, fractality and regime switching," Economics Working Papers 2006-13, Christian-Albrechts-University of Kiel, Department of Economics.
    3. Segnon, Mawuli & Lux, Thomas, 2013. "Multifractal models in finance: Their origin, properties, and applications," Kiel Working Papers 1860, Kiel Institute for the World Economy (IfW Kiel).
    4. Skjeltorp, Johannes A, 2000. "Scaling in the Norwegian stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 283(3), pages 486-528.
    5. Wang, Yudong & Wu, Chongfeng & Yang, Li, 2016. "Forecasting crude oil market volatility: A Markov switching multifractal volatility approach," International Journal of Forecasting, Elsevier, vol. 32(1), pages 1-9.
    6. Benoit Mandelbrot & Adlai Fisher & Laurent Calvet, 1997. "A Multifractal Model of Asset Returns," Cowles Foundation Discussion Papers 1164, Cowles Foundation for Research in Economics, Yale University.
    7. Kwapień, J. & Drożdż, S. & Oświe¸cimka, P., 2006. "The bulk of the stock market correlation matrix is not pure noise," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 359(C), pages 589-606.
    8. Laurent-Emmanuel Calvet & Adlai J. Fisher, 2001. "Forecasting multifractal volatility," Post-Print hal-00477952, HAL.
    9. Schadner, Wolfgang, 2022. "U.S. Politics from a multifractal perspective," Chaos, Solitons & Fractals, Elsevier, vol. 155(C).
    10. Brandi, Giuseppe & Di Matteo, T., 2022. "Multiscaling and rough volatility: An empirical investigation," International Review of Financial Analysis, Elsevier, vol. 84(C).
    11. Mulligan, Robert F., 2004. "Fractal analysis of highly volatile markets: an application to technology equities," The Quarterly Review of Economics and Finance, Elsevier, vol. 44(1), pages 155-179, February.
    12. Mulligan, Robert F. & Lombardo, Gary A., 2004. "Maritime businesses: volatile stock prices and market valuation inefficiencies," The Quarterly Review of Economics and Finance, Elsevier, vol. 44(2), pages 321-336, May.
    13. Eric M. Aldrich & Indra Heckenbach & Gregory Laughlin, 2014. "A Compound Multifractal Model for High-Frequency Asset Returns," BYU Macroeconomics and Computational Laboratory Working Paper Series 2014-05, Brigham Young University, Department of Economics, BYU Macroeconomics and Computational Laboratory.
    14. Céline Azizieh & Wolfgang Breymann, 2005. "Estimation of the Stylized Facts of a Stochastic Cascade Model," Working Papers CEB 05-009.RS, ULB -- Universite Libre de Bruxelles.
    15. Pablo Su'arez-Garc'ia & David G'omez-Ullate, 2013. "Multifractality and long memory of a financial index," Papers 1306.0490, arXiv.org.
    16. Shang, Pengjian & Lu, Yongbo & Kama, Santi, 2006. "The application of Hölder exponent to traffic congestion warning," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 370(2), pages 769-776.
    17. Kwapień, J. & Oświe¸cimka, P. & Drożdż, S., 2005. "Components of multifractality in high-frequency stock returns," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 350(2), pages 466-474.
    18. Grahovac, Danijel & Leonenko, Nikolai N., 2014. "Detecting multifractal stochastic processes under heavy-tailed effects," Chaos, Solitons & Fractals, Elsevier, vol. 65(C), pages 78-89.
    19. Giuseppe Brandi & T. Di Matteo, 2022. "Multiscaling and rough volatility: an empirical investigation," Papers 2201.10466, arXiv.org.
    20. Aldrich, Eric M. & Heckenbach, Indra & Laughlin, Gregory, 2016. "A compound duration model for high-frequency asset returns," Journal of Empirical Finance, Elsevier, vol. 39(PA), pages 105-128.
    21. Mandelbrot, Benoit B., 1999. "Renormalization and fixed points in finance, since 1962," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 263(1), pages 477-487.
    22. Halbleib, Roxana & Dimitriadis, Timo, 2019. "How informative is high-frequency data for tail risk estimation and forecasting? An intrinsic time perspectice," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203669, Verein für Socialpolitik / German Economic Association.
    23. Benoit B. Mandelbrot, 2005. "Parallel cartoons of fractal models of finance," Annals of Finance, Springer, vol. 1(2), pages 179-192, October.
    24. Cristiana Vaz & Rui Pascoal & Helder Sebastião, 2021. "Price Appreciation and Roughness Duality in Bitcoin: A Multifractal Analysis," Mathematics, MDPI, vol. 9(17), pages 1-18, August.
    25. Suárez-García, Pablo & Gómez-Ullate, David, 2014. "Multifractality and long memory of a financial index," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 394(C), pages 226-234.
    26. Sutthisit Jamdee & Cornelis A. Los, 2005. "Multifractal Modeling of the US Treasury Term Structure and Fed Funds Rate," Finance 0502021, University Library of Munich, Germany.
    27. Pawe{l} O'swik{e}cimka & Stanis{l}aw Dro.zd.z & Mattia Frasca & Robert Gk{e}barowski & Natsue Yoshimura & Luciano Zunino & Ludovico Minati, 2020. "Wavelet-based discrimination of isolated singularities masquerading as multifractals in detrended fluctuation analyses," Papers 2004.03319, arXiv.org.
    28. Chuxuan Jiang & Priya Dev & Ross A. Maller, 2020. "A Hypothesis Test Method for Detecting Multifractal Scaling, Applied to Bitcoin Prices," JRFM, MDPI, vol. 13(5), pages 1-21, May.
    29. Cornelis A. Los, 2005. "The Degree of Stability of Price Diffusion," Finance 0508006, University Library of Munich, Germany.
    30. Nicolas Boitout & Loredana Ureche-Rangau, 2004. "Towards A Multifractal Paradigm Of Stochastic Volatility?," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 7(07), pages 823-851.
    31. Robert Mulligan, 2000. "A fractal analysis of foreign exchange markets," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 6(1), pages 33-49, February.
    32. Eisler, Z. & Kertész, J., 2004. "Multifractal model of asset returns with leverage effect," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 343(C), pages 603-622.
    33. Călin Vamoş & Maria Crăciun & Nicolae Suciu, 2015. "Automatic algorithm to decompose discrete paths of fractional Brownian motion into self-similar intrinsic components," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 88(10), pages 1-10, October.
    34. Veysov, Alexander, 2012. "Financial System Classification: From Conventional Dichotomy to a More Modern View," MPRA Paper 40613, University Library of Munich, Germany.
    35. Per Frederiksen & Frank S. Nielsen, 2008. "Estimation of Dynamic Models with Nonparametric Simulated Maximum Likelihood," CREATES Research Papers 2008-59, Department of Economics and Business Economics, Aarhus University.
    36. Wesselhöfft, Niels & Härdle, Wolfgang Karl, 2019. "Estimating low sampling frequency risk measure by high-frequency data," IRTG 1792 Discussion Papers 2019-003, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".

  35. Benoit Mandelbrot & Adlai Fisher & Laurent Calvet, 1997. "A Multifractal Model of Asset Returns," Cowles Foundation Discussion Papers 1164, Cowles Foundation for Research in Economics, Yale University.

    Cited by:

    1. Johann Lussange & Ivan Lazarevich & Sacha Bourgeois-Gironde & Stefano Palminteri & Boris Gutkin, 2021. "Modelling Stock Markets by Multi-agent Reinforcement Learning," Computational Economics, Springer;Society for Computational Economics, vol. 57(1), pages 113-147, January.
    2. St'ephane Goutte & Nadia Oudjane & Francesco Russo, 2013. "Variance optimal hedging for continuous time additive processes and applications," Papers 1302.1965, arXiv.org.
    3. Todd Zorick & Mark A Mandelkern, 2013. "Multifractal Detrended Fluctuation Analysis of Human EEG: Preliminary Investigation and Comparison with the Wavelet Transform Modulus Maxima Technique," PLOS ONE, Public Library of Science, vol. 8(7), pages 1-7, July.
    4. Torben G. Andersen & Tim Bollerslev & Francis X. Diebold & Paul Labys, 1999. "The Distribution of Exchange Rate Volatility," Center for Financial Institutions Working Papers 99-08, Wharton School Center for Financial Institutions, University of Pennsylvania.
    5. Buonocore, R.J. & Aste, T. & Di Matteo, T., 2016. "Measuring multiscaling in financial time-series," Chaos, Solitons & Fractals, Elsevier, vol. 88(C), pages 38-47.
    6. Mawuli Segnon & Rangan Gupta & Keagile Lesame & Mark E. Wohar, 2019. "High-Frequency Volatility Forecasting of US Housing Markets," Working Papers 201977, University of Pretoria, Department of Economics.
    7. Lux, Thomas, 2022. "Inference for Nonlinear State Space Models: A Comparison of Different Methods applied to Markov-Switching Multifractal Models," Econometrics and Statistics, Elsevier, vol. 21(C), pages 69-95.
    8. Nava, Noemi & Di Matteo, T. & Aste, Tomaso, 2016. "Anomalous volatility scaling in high frequency financial data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 447(C), pages 434-445.
    9. Barunik, Jozef & Aste, Tomaso & Di Matteo, T. & Liu, Ruipeng, 2012. "Understanding the source of multifractality in financial markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(17), pages 4234-4251.
    10. Lux, Thomas & Kaizoji, Taisei, 2006. "Forecasting volatility and volume in the Tokyo stock market: Long memory, fractality and regime switching," Economics Working Papers 2006-13, Christian-Albrechts-University of Kiel, Department of Economics.
    11. Lux, Thomas & Morales-Arias, Leonardo, 2010. "Forecasting volatility under fractality, regime-switching, long memory and student-t innovations," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2676-2692, November.
    12. Olkhov, Victor, 2018. "Expectations, Price Fluctuations and Lorenz Attractor," MPRA Paper 89105, University Library of Munich, Germany.
    13. Olkhov, Victor, 2019. "New Essentials of Economic Theory," MPRA Paper 95065, University Library of Munich, Germany.
    14. Arun Kumar & Palaniappan Vellaisamy, 2012. "Fractional Normal Inverse Gaussian Process," Methodology and Computing in Applied Probability, Springer, vol. 14(2), pages 263-283, June.
    15. Lux, Thomas & Morales-Arias, Leonardo, 2010. "Relative forecasting performance of volatility models: Monte Carlo evidence," Kiel Working Papers 1582, Kiel Institute for the World Economy (IfW Kiel).
    16. Timothy DeLise, 2021. "Neural Options Pricing," Papers 2105.13320, arXiv.org.
    17. Olkhov, Victor, 2023. "The Market-Based Probability of Stock Returns," MPRA Paper 116234, University Library of Munich, Germany.
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    1. Todd Zorick & Mark A Mandelkern, 2013. "Multifractal Detrended Fluctuation Analysis of Human EEG: Preliminary Investigation and Comparison with the Wavelet Transform Modulus Maxima Technique," PLOS ONE, Public Library of Science, vol. 8(7), pages 1-7, July.
    2. Torben G. Andersen & Tim Bollerslev & Francis X. Diebold & Paul Labys, 1999. "The Distribution of Exchange Rate Volatility," Center for Financial Institutions Working Papers 99-08, Wharton School Center for Financial Institutions, University of Pennsylvania.
    3. Lux, Thomas & Kaizoji, Taisei, 2006. "Forecasting volatility and volume in the Tokyo stock market: Long memory, fractality and regime switching," Economics Working Papers 2006-13, Christian-Albrechts-University of Kiel, Department of Economics.
    4. Assaf, A., 2006. "Dependence and mean reversion in stock prices: The case of the MENA region," Research in International Business and Finance, Elsevier, vol. 20(3), pages 286-304, September.
    5. Haider Ali & Faheem Aslam & Paulo Ferreira, 2021. "Modeling Dynamic Multifractal Efficiency of US Electricity Market," Energies, MDPI, vol. 14(19), pages 1-16, September.
    6. Skjeltorp, Johannes A, 2000. "Scaling in the Norwegian stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 283(3), pages 486-528.
    7. Wang, Yudong & Wu, Chongfeng & Yang, Li, 2016. "Forecasting crude oil market volatility: A Markov switching multifractal volatility approach," International Journal of Forecasting, Elsevier, vol. 32(1), pages 1-9.
    8. Benoit Mandelbrot & Adlai Fisher & Laurent Calvet, 1997. "A Multifractal Model of Asset Returns," Cowles Foundation Discussion Papers 1164, Cowles Foundation for Research in Economics, Yale University.
    9. Lux, Thomas & Kaizoji, Taisei, 2004. "Forecasting volatility and volume in the Tokyo stock market: The advantage of long memory models," Economics Working Papers 2004-05, Christian-Albrechts-University of Kiel, Department of Economics.
    10. Laurent-Emmanuel Calvet & Adlai J. Fisher, 2001. "Forecasting multifractal volatility," Post-Print hal-00477952, HAL.
    11. Marc-Etienne BRACHET & Erik TAFLIN & Jean Marcel TCHEOU, 1999. "Scaling transformation and probability distributions for financial time series," GE, Growth, Math methods 9901003, University Library of Munich, Germany.
    12. Lux, Thomas, 2003. "The multi-fractal model of asset returns: Its estimation via GMM and its use for volatility forecasting," Economics Working Papers 2003-13, Christian-Albrechts-University of Kiel, Department of Economics.
    13. Akash P. POOJARI & Siva Kiran GUPTHA & G Raghavender RAJU, 2022. "Multifractal analysis of equities. Evidence from the emerging and frontier banking sectors," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(3(632), A), pages 61-80, Autumn.
    14. Ali, Sajid & Shahzad, Syed Jawad Hussain & Raza, Naveed & Al-Yahyaee, Khamis Hamed, 2018. "Stock market efficiency: A comparative analysis of Islamic and conventional stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 139-153.
    15. Mulligan, Robert F., 2004. "Fractal analysis of highly volatile markets: an application to technology equities," The Quarterly Review of Economics and Finance, Elsevier, vol. 44(1), pages 155-179, February.
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    34. Aloui, Chaker & Shahzad, Syed Jawad Hussain & Jammazi, Rania, 2018. "Dynamic efficiency of European credit sectors: A rolling-window multifractal detrended fluctuation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 337-349.
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Articles

  1. Laurent Bach & Laurent E. Calvet & Paolo Sodini, 2020. "Rich Pickings? Risk, Return, and Skill in Household Wealth," American Economic Review, American Economic Association, vol. 110(9), pages 2703-2747, September.

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    1. Benjamin Moll & Lukasz Rachel & Pascual Restrepo, 2021. "Uneven Growth: Automation's Impact on Income and Wealth Inequality," NBER Working Papers 28440, National Bureau of Economic Research, Inc.
    2. Baker, Scott R. & Johnson, Stephanie & Kueng, Lorenz, 2024. "Financial returns to household inventory management," Journal of Financial Economics, Elsevier, vol. 151(C).
    3. Xianbo Zhou & Zhuoran Chen, 2023. "The Impact of Uncertainty Shocks to Consumption under Different Confidence Regimes Based on a Stochastic Uncertainty-in-Mean TVAR Model," Sustainability, MDPI, vol. 15(4), pages 1-20, February.
    4. Haliassos, Michael & Jansson, Thomas & Karabulut, Yigitcan, 2022. "Wealth Inequality: Opportunity or Unfairness?," CEPR Discussion Papers 17237, C.E.P.R. Discussion Papers.
    5. Job Boerma & Loukas Karabarbounis, 2022. "Reparations and Persistent Racial Wealth Gaps," NBER Chapters, in: NBER Macroeconomics Annual 2022, volume 37, pages 171-221, National Bureau of Economic Research, Inc.
    6. Iacono, Roberto & Palagi, Elisa, 2022. "A micro perspective on r > g," LSE Research Online Documents on Economics 114442, London School of Economics and Political Science, LSE Library.
    7. Advani, Arun & Bangham, George & Leslie, Jack, 2021. "The UK’s wealth distribution and characteristics of high-wealth households," The Warwick Economics Research Paper Series (TWERPS) 1367, University of Warwick, Department of Economics.
    8. Patrick Macnamara & Myroslav Pidkuyko & Raffaele Rossi, 2022. "Taxing Consumption in Unequal Economies," Economics Discussion Paper Series 2210, Economics, The University of Manchester.
    9. David Gallusser & Matthias Krapf, 2022. "Joint Income-Wealth Inequality: Evidence from Lucerne Tax Data," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 163(1), pages 251-295, August.
    10. Falkinger Josef, 2023. "Gibt es die Marktwirtschaft noch? : Ein Versuch über politische Ökonomie im einundzwanzigsten Jahrhundert," Perspektiven der Wirtschaftspolitik, De Gruyter, vol. 24(1), pages 110-128, April.
    11. Marius Brülhart & Jonathan Gruber & Matthias Krapf & Kurt Schmidheiny, 2022. "Behavioral Responses to Wealth Taxes: Evidence from Switzerland," American Economic Journal: Economic Policy, American Economic Association, vol. 14(4), pages 111-150, November.
    12. Thilo N H Albers & Charlotte Bartels & Moritz Schularick, 2022. "Wealth and its Distribution in Germany, 1895-2018," Working Papers hal-03881506, HAL.
    13. Gaillard, Alexandre & Hellwig, Christian & Wangner, Philipp & Werquin, Nicolas, 2023. "Consumption, Wealth, and Income Inequality: A Tale of Tails," TSE Working Papers 23-1493, Toulouse School of Economics (TSE).
    14. William Goetzmann & Christophe Spaenjers & Stijn van Nieuwerburgh, 2021. "Real and Private-Value Assets," Working Papers hal-03501704, HAL.
    15. Korevaar, Matthijs, 2023. "Reaching for yield and the housing market: Evidence from 18th-century Amsterdam," Journal of Financial Economics, Elsevier, vol. 148(3), pages 273-296.
    16. Karl Schulz, 2021. "Redistribution of Return Inequality," CESifo Working Paper Series 8996, CESifo.
    17. Sujoy Mukerji & Han N. Ozsoylev & Jean‐Marc Tallon, 2023. "Trading Ambiguity: A Tale Of Two Heterogeneities," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 64(3), pages 1127-1164, August.
    18. Kumon, Yuzuru, 2021. "The Deep Roots of Inequality," IAST Working Papers 21-125, Institute for Advanced Study in Toulouse (IAST).
    19. Matthew Smith & Owen Zidar & Eric Zwick, 2020. "Top Wealth in America: New Estimates and Implications for Taxing the Rich," Working Papers 264, Princeton University, Department of Economics, Center for Economic Policy Studies..
    20. Demetrio Guzzardi & Elisa Palagi & Andrea Roventini & Alessandro Santoro, 2022. "Reconstructing Income Inequality in Italy: New Evidence and Tax Policy Implications from Distributional National Accounts," World Inequality Lab Working Papers halshs-03693201, HAL.
    21. Ľuboš Pástor & Pietro Veronesi, 2021. "Inequality Aversion, Populism, and the Backlash against Globalization," Journal of Finance, American Finance Association, vol. 76(6), pages 2857-2906, December.
    22. Eddy Zanoutene, 2023. "Scale‐dependent and risky returns to savings: Consequences for optimal capital taxation," Post-Print hal-03891225, HAL.
    23. Kapeller, Jakob & Leitch, Stuart & Wildauer, Rafael, 2021. "A European Wealth Tax for a Fair and Green Recovery," ifso expertise 16, University of Duisburg-Essen, Institute for Socioeconomics (ifso).
    24. Thilo N. H. Albers & Felix Kersting & Timo Stieglitz, 2023. "Industrialization, Returns, Inequality," Rationality and Competition Discussion Paper Series 462, CRC TRR 190 Rationality and Competition.
    25. Samuli Knüpfer & Elias Rantapuska & Matti Sarvimäki, 2023. "Social Interaction in the Family: Evidence from Investors’ Security Holdings," Review of Finance, European Finance Association, vol. 27(4), pages 1297-1327.
    26. An, Li & Lou, Dong & Shi, Donghui, 2022. "Wealth redistribution in bubbles and crashes," Journal of Monetary Economics, Elsevier, vol. 126(C), pages 134-153.
    27. Benjamin Ching & Tayla Forward & Oscar Parkyn, 2023. "Estimating the Distribution of Wealth in New Zealand," Treasury Working Paper Series 23/01, New Zealand Treasury.
    28. Bali, Turan G. & Gunaydin, A. Doruk & Jansson, Thomas & Karabulut, Yigitcan, 2023. "Do the rich gamble in the stock market? Low risk anomalies and wealthy households," Journal of Financial Economics, Elsevier, vol. 150(2).
    29. Mehdi El Herradi & Aurélien Leroy, 2022. "The rich, poor, and middle class: Banking crises and income distribution," Post-Print hal-03770620, HAL.
    30. Musab Kurnaz & Terry A. Yip, 2022. "The Canadian income taxation: Statistical analysis and parametric estimates," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 55(1), pages 272-311, February.
    31. Jean-Baptiste Michau & Yoshiyasu Ono & Matthias Schlegl, 2023. "The Preference for Wealth and Inequality: Towards a Piketty Theory of Wealth Inequality," ISER Discussion Paper 1223, Institute of Social and Economic Research, Osaka University.
    32. Spencer Bastani & Daniel Waldenström, 2020. "How Should Capital Be Taxed?," Journal of Economic Surveys, Wiley Blackwell, vol. 34(4), pages 812-846, September.
    33. Nicolas Frémeaux & Marion Leturcq, 2022. "Wealth Accumulation and the Gender Wealth Gap Across Couples’ Legal Statuses and Matrimonial Property Regimes in France," European Journal of Population, Springer;European Association for Population Studies, vol. 38(4), pages 643-679, October.
    34. Macnamara, Patrick & Pidkuyko, Myroslav & Rossi, Raffaele, 2024. "Marginal tax rates and income in the long run: Evidence from a structural estimation," Journal of Monetary Economics, Elsevier, vol. 142(C).
    35. Sangyup Choi & Jeeyeon Phi, 2022. "Impact of Uncertainty Shocks on Income and Wealth Inequality," Working papers 2022rwp-196, Yonsei University, Yonsei Economics Research Institute.
    36. Arnab Bhattacharjee & Larissa Marioni & Max Mosley & Adrian Pabst, 2024. "Exploring Alternative Data Sources for Household Wealth Statistics," National Institute of Economic and Social Research (NIESR) Discussion Papers 552, National Institute of Economic and Social Research.
    37. Andreas Fagereng & Luigi Guiso & Luigi Pistaferri, 2022. "Assortative Mating and Wealth Inequality," EIEF Working Papers Series 2204, Einaudi Institute for Economics and Finance (EIEF), revised Mar 2022.
    38. Blanchet, Thomas & Martínez-Toledano, Clara, 2023. "Wealth inequality dynamics in europe and the united states: Understanding the determinants," Journal of Monetary Economics, Elsevier, vol. 133(C), pages 25-43.
    39. Targa, Matteo & Yang, Li, 2023. "The impact of communist party membership on wealth distribution and accumulation in urban China," ZEW Discussion Papers 23-057, ZEW - Leibniz Centre for European Economic Research.
    40. Garbarino, Nicola & Lee, Jonathan & Guin, Benjamin, 2023. "The Effects of Subsidized Flood Insurance on Real Estate Markets," VfS Annual Conference 2023 (Regensburg): Growth and the "sociale Frage" 277665, Verein für Socialpolitik / German Economic Association.
    41. Charalampidis, Nikolaos, 2022. "Top income shares, inequality, and business cycles: United States, 1957–2016," European Economic Review, Elsevier, vol. 150(C).
    42. Thomas Blanchet, 2022. "Uncovering the Dynamics of the Wealth Distribution," Papers 2211.15509, arXiv.org.
    43. Matthias Krapf, 2023. "Does Income Risk Affect the Wealth Distribution?," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 49(4), pages 475-515, October.
    44. Bianchi, Milo & Brière, Marie, 2021. "Human-Robot Interactions in Investment Decisions," TSE Working Papers 21-1251, Toulouse School of Economics (TSE), revised Mar 2024.
    45. Burgherr, David, 2022. "Behavioral Responses to a Pension Savings Mandate : Quasi-experimental Evidence from Swiss Tax Data," CAGE Online Working Paper Series 645, Competitive Advantage in the Global Economy (CAGE).
    46. Kapeller, Jakob & Leitch, Stuart & Wildauer, Rafael, 2023. "Can a European wealth tax close the green investment gap?," Ecological Economics, Elsevier, vol. 209(C).
    47. Bastani, Spencer & Karlsson, Kristina & Waldenström, Daniel, 2023. "The Different Returns to Cognitive Ability in the Labor and Capital Markets," Working Paper Series 1459, Research Institute of Industrial Economics.
    48. Buss, Adrian & Vilkov, Grigory & Uppal, Raman, 2020. "Investor Sophistication and Portfolio Dynamics," CEPR Discussion Papers 15116, C.E.P.R. Discussion Papers.
    49. Ines Heck & Jakob Kapeller & Rafael Wildauer, 2020. "Vermögenskonzentration in Österreich," Working Paper Reihe der AK Wien - Materialien zu Wirtschaft und Gesellschaft 206, Kammer für Arbeiter und Angestellte für Wien, Abteilung Wirtschaftswissenschaft und Statistik.
    50. Jiang, Zhengyang & Peng, Cameron & Yan, Hongjun, 2024. "Personality differences and investment decision-making," LSE Research Online Documents on Economics 121634, London School of Economics and Political Science, LSE Library.
    51. Vimal Balasubramaniam & John Y. Campbell & Tarun Ramadorai & Benjamin Ranish, 2023. "Who Owns What? A Factor Model for Direct Stockholding," Journal of Finance, American Finance Association, vol. 78(3), pages 1545-1591, June.
    52. Christiansen, Charlotte & Jansson, Thomas & Kallestrup-Lamb, Malene & Noren, Vicke, 2023. "Households' investments in socially responsible mutual funds," The Quarterly Review of Economics and Finance, Elsevier, vol. 87(C), pages 46-67.
    53. Heck, Ines & Kapeller, Jakob & Wildauer, Rafael, 2020. "Vermögenskonzentration in Österreich: Ein Update auf Basis des HFCS 2017," Greenwich Papers in Political Economy 30683, University of Greenwich, Greenwich Political Economy Research Centre.
    54. Ferentinos, Konstantinos & Gibberd, Alex & Guin, Benjamin, 2023. "Stranded houses? The price effect of a minimum energy efficiency standard," Energy Economics, Elsevier, vol. 120(C).
    55. Sarah Perret, 2021. "Why were most wealth taxes abandoned and is this time different?," Fiscal Studies, John Wiley & Sons, vol. 42(3-4), pages 539-563, September.
    56. Wong, Francis & Kermani, Amir, 2022. "Racial Disparities in Housing Returns," VfS Annual Conference 2022 (Basel): Big Data in Economics 264099, Verein für Socialpolitik / German Economic Association.
    57. Aart Gerritsen & Bas Jacobs & Alexandra V. Rusu & Kevin Spiritus, 2020. "Optimal Taxation of Capital Income with Heterogeneous Rates of Return," Tinbergen Institute Discussion Papers 20-038/VI, Tinbergen Institute.
    58. Anne-Laure Delatte & Benjamin Lemoine, 2021. "Expertise économique et politique publique : examen critique des propositions sur la dette liée à la pandémie," Working Papers hal-03219581, HAL.
    59. Policardo, Laura & Sanchez Carrera, Edgar J., 2024. "Wealth inequality and economic growth: Evidence from the US and France," Socio-Economic Planning Sciences, Elsevier, vol. 92(C).
    60. Bastani, Spencer & Karlsson, Kristina & Waldenström, Daniel, 2023. "The different returns to cognitive ability in the labor and capital markets," Working Paper Series 2023:8, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    61. Balakina, Olga & Bäckman, Claes & Parakhoniak, Anastasiia, 2024. "Beyond connectivity: Stock market participation in a network," SAFE Working Paper Series 416, Leibniz Institute for Financial Research SAFE.
    62. , Matteo & Yang, Li, 2023. "The Impact of Communist Party Membership on Wealth Distribution and Accumulation in Urban China," SocArXiv y4pwa, Center for Open Science.

  2. Calvet, Laurent-Emmanuel & Grandmont, Jean-Michel & Lemaire, Isabelle, 2018. "Aggregation of heterogenous beliefs, asset pricing, and risk sharing in complete financial markets," Research in Economics, Elsevier, vol. 72(1), pages 117-146.
    See citations under working paper version above.
  3. Calvet, Laurent E. & Fisher, Adlai J. & Wu, Liuren, 2018. "Staying on Top of the Curve: A Cascade Model of Term Structure Dynamics," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 53(2), pages 937-963, April.

    Cited by:

    1. Peter Carr & Liuren Wu, 2023. "Decomposing Long Bond Returns: A Decentralized Theory," Review of Finance, European Finance Association, vol. 27(3), pages 997-1026.
    2. Zhiguang Wang & Brice Dupoyet, 2019. "A dimension‐invariant cascade model for VIX futures," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(10), pages 1214-1227, October.
    3. Grobys, Klaus, 2023. "A multifractal model of asset (in)variances," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 85(C).

  4. Sebastien Betermier & Laurent E. Calvet & Paolo Sodini, 2017. "Who Are the Value and Growth Investors?," Journal of Finance, American Finance Association, vol. 72(1), pages 5-46, February.
    See citations under working paper version above.
  5. Calvet, Laurent E. & Czellar, Veronika, 2015. "Through the looking glass: Indirect inference via simple equilibria," Journal of Econometrics, Elsevier, vol. 185(2), pages 343-358.
    See citations under working paper version above.
  6. Laurent E. Calvet & Veronika Czellar, 2015. "Accurate Methods for Approximate Bayesian Computation Filtering," Journal of Financial Econometrics, Oxford University Press, vol. 13(4), pages 798-838.
    See citations under working paper version above.
  7. Calvet, Laurent E. & Fearnley, Marcus & Fisher, Adlai J. & Leippold, Markus, 2015. "What is beneath the surface? Option pricing with multifrequency latent states," Journal of Econometrics, Elsevier, vol. 187(2), pages 498-511.
    See citations under working paper version above.
  8. Laurent E. Calvet & Paolo Sodini, 2014. "Twin Picks: Disentangling the Determinants of Risk-Taking in Household Portfolios," Journal of Finance, American Finance Association, vol. 69(2), pages 867-906, April.
    See citations under working paper version above.
  9. Laurent E. Calvet & John Y. Campbell & Paolo Sodini, 2009. "Fight or Flight? Portfolio Rebalancing by Individual Investors," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(1), pages 301-348.
    See citations under working paper version above.
  10. Laurent E. Calvet & John Y. Campbell & Paolo Sodini, 2009. "Measuring the Financial Sophistication of Households," American Economic Review, American Economic Association, vol. 99(2), pages 393-398, May.
    See citations under working paper version above.
  11. Calvet, Laurent E. & Fisher, Adlai J., 2008. "Multifrequency jump-diffusions: An equilibrium approach," Journal of Mathematical Economics, Elsevier, vol. 44(2), pages 207-226, January.
    See citations under working paper version above.
  12. Calvet, Laurent E. & Fisher, Adlai J., 2007. "Multifrequency news and stock returns," Journal of Financial Economics, Elsevier, vol. 86(1), pages 178-212, October.
    See citations under working paper version above.
  13. Laurent E. Calvet & John Y. Campbell & Paolo Sodini, 2007. "Down or Out: Assessing the Welfare Costs of Household Investment Mistakes," Journal of Political Economy, University of Chicago Press, vol. 115(5), pages 707-747, October.
    See citations under working paper version above.
  14. Angeletos, George-Marios & Calvet, Laurent-Emmanuel, 2006. "Idiosyncratic production risk, growth and the business cycle," Journal of Monetary Economics, Elsevier, vol. 53(6), pages 1095-1115, September.
    See citations under working paper version above.
  15. Calvet, Laurent E. & Fisher, Adlai J. & Thompson, Samuel B., 2006. "Volatility comovement: a multifrequency approach," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 179-215.
    See citations under working paper version above.
  16. Angeletos, George-Marios & Calvet, Laurent-Emmanuel, 2005. "Incomplete-market dynamics in a neoclassical production economy," Journal of Mathematical Economics, Elsevier, vol. 41(4-5), pages 407-438, August.
    See citations under working paper version above.
  17. Calvet, Laurent & Gonzalez-Eiras, Martín & Sodini, Paolo, 2004. "Financial Innovation, Market Participation, and Asset Prices," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 39(3), pages 431-459, September.
    See citations under working paper version above.
  18. Laurent E. Calvet, 2004. "How to Forecast Long-Run Volatility: Regime Switching and the Estimation of Multifractal Processes," Journal of Financial Econometrics, Oxford University Press, vol. 2(1), pages 49-83.
    See citations under working paper version above.
  19. Laurent Calvet & Etienne Comon, 2003. "Behavioral Heterogeneity and the Income Effect," The Review of Economics and Statistics, MIT Press, vol. 85(3), pages 653-669, August.
    See citations under working paper version above.
  20. Laurent Calvet & Adlai Fisher, 2002. "Multifractality In Asset Returns: Theory And Evidence," The Review of Economics and Statistics, MIT Press, vol. 84(3), pages 381-406, August.
    See citations under working paper version above.
  21. Calvet, Laurent E., 2001. "Incomplete Markets and Volatility," Journal of Economic Theory, Elsevier, vol. 98(2), pages 295-338, June.
    See citations under working paper version above.
  22. Calvet, Laurent & Fisher, Adlai, 2001. "Forecasting multifractal volatility," Journal of Econometrics, Elsevier, vol. 105(1), pages 27-58, November.
    See citations under working paper version above.

Books

  1. Calvet, Laurent E. & Fisher, Adlai J., 2008. "Multifractal Volatility," Elsevier Monographs, Elsevier, edition 1, number 9780121500139.

    Cited by:

    1. Alain Chaboud & Benjamin Chiquoine & Erik Hjalmarsson & Mico Loretan, 2008. "Frequency of observation and the estimation of integrated volatility in deep and liquid financial markets," BIS Working Papers 249, Bank for International Settlements.
    2. Laurent-Emmanuel Calvet & Veronika Czellar, 2011. "State-Observation Sampling and the Econometrics of Learning Models," Working Papers hal-00625500, HAL.
    3. D. Sornette, 2014. "Physics and Financial Economics (1776-2014): Puzzles, Ising and Agent-Based models," Papers 1404.0243, arXiv.org.
    4. Jason Beeler & John Y. Campbell, 2009. "The Long-Run Risks Model and Aggregate Asset Prices: An Empirical Assessment," NBER Working Papers 14788, National Bureau of Economic Research, Inc.
    5. Juan M. Romero & Ilse B. Zubieta-Mart'inez, 2016. "Relativistic Quantum Finance," Papers 1604.01447, arXiv.org.
    6. Calvet, Laurent E. & Czellar, Veronika, 2015. "Through the looking glass: Indirect inference via simple equilibria," Journal of Econometrics, Elsevier, vol. 185(2), pages 343-358.
    7. Stéphane Goutte & Benteng Zou, 2012. "Continuous time regime switching model applied to foreign exchange rate," Working Papers hal-00643900, HAL.
    8. Jean-Philippe Aguilar & Cyril Coste & Hagen Kleinert & Jan Korbel, 2016. "Distributional Mellin calculus in $\mathbb{C}^n$, with applications to option pricing," Papers 1611.03239, arXiv.org, revised Nov 2016.
    9. Eric M. Aldrich & Indra Heckenbach & Gregory Laughlin, 2014. "A Compound Multifractal Model for High-Frequency Asset Returns," BYU Macroeconomics and Computational Laboratory Working Paper Series 2014-05, Brigham Young University, Department of Economics, BYU Macroeconomics and Computational Laboratory.
    10. Jianjian Jin, 2013. "Jump-Diffusion Long-Run Risks Models, Variance Risk Premium and Volatility Dynamics," Staff Working Papers 13-12, Bank of Canada.
    11. R'emy Chicheportiche & Jean-Philippe Bouchaud, 2012. "The fine-structure of volatility feedback I: multi-scale self-reflexivity," Papers 1206.2153, arXiv.org, revised Sep 2013.
    12. Hongli Niu & Jun Wang, 2014. "Phase and multifractality analyses of random price time series by finite-range interacting biased voter system," Computational Statistics, Springer, vol. 29(5), pages 1045-1063, October.
    13. Ladislav Kristoufek, 2012. "Fractal Markets Hypothesis And The Global Financial Crisis: Scaling, Investment Horizons And Liquidity," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 15(06), pages 1-13.
    14. Calif, Rudy & Schmitt, François G. & Huang, Yongxiang, 2013. "Multifractal description of wind power fluctuations using arbitrary order Hilbert spectral analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(18), pages 4106-4120.
    15. Ladislav Kristoufek, 2012. "Multifractal Height Cross-Correlation Analysis: A New Method for Analyzing Long-Range Cross-Correlations," Papers 1201.3473, arXiv.org, revised Jan 2012.
    16. Stéphane GOUTTE & Benteng Zou, 2011. "Foreign exchange rates under Markov Regime switching model," DEM Discussion Paper Series 11-16, Department of Economics at the University of Luxembourg.
    17. Aldrich, Eric M. & Heckenbach, Indra & Laughlin, Gregory, 2016. "A compound duration model for high-frequency asset returns," Journal of Empirical Finance, Elsevier, vol. 39(PA), pages 105-128.
    18. Zeng, Yayun & Wang, Jun & Xu, Kaixuan, 2017. "Complexity and multifractal behaviors of multiscale-continuum percolation financial system for Chinese stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 364-376.
    19. Chen, Fei & Diebold, Francis X. & Schorfheide, Frank, 2013. "A Markov-switching multifractal inter-trade duration model, with application to US equities," Journal of Econometrics, Elsevier, vol. 177(2), pages 320-342.
    20. Liu, Chun & Maheu, John M., 2012. "Intraday dynamics of volatility and duration: Evidence from Chinese stocks," Pacific-Basin Finance Journal, Elsevier, vol. 20(3), pages 329-348.
    21. Dai Pra, P. & Pigato, P., 2015. "Multi-scaling of moments in stochastic volatility models," Stochastic Processes and their Applications, Elsevier, vol. 125(10), pages 3725-3747.
    22. Bill McKelvey & Benyamin B. Lichtenstein & Pierpaolo Andriani, 2012. "When organisations and ecosystems interact: toward a law of requisite fractality in firms," International Journal of Complexity in Leadership and Management, Inderscience Enterprises Ltd, vol. 2(1/2), pages 104-136.
    23. Chun Liu & John M Maheu, 2010. "Intraday Dynamics of Volatility and Duration: Evidence from the Chinese Stock Market," Working Papers tecipa-401, University of Toronto, Department of Economics.
    24. Lee, Hojin & Song, Jae Wook & Chang, Woojin, 2016. "Multifractal Value at Risk model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 451(C), pages 113-122.
    25. David S. Bates, 2016. "How Crashes Develop: Intradaily Volatility and Crash Evolution," NBER Working Papers 22028, National Bureau of Economic Research, Inc.
    26. Kent Daniel & Ravi Jagannathan & Soohun Kim, 2012. "Tail Risk in Momentum Strategy Returns," NBER Working Papers 18169, National Bureau of Economic Research, Inc.

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