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Thomas Quistgaard Pedersen

Citations

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

Working papers

  1. Thomas Quistgaard Pedersen & Erik Christian Montes Schütte, 2017. "Testing for Explosive Bubbles in the Presence of Autocorrelated Innovations," CREATES Research Papers 2017-09, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Yang Hu, 2023. "A review of Phillips‐type right‐tailed unit root bubble detection tests," Journal of Economic Surveys, Wiley Blackwell, vol. 37(1), pages 141-158, February.
    2. Kristoffer Pons Bertelsen, 2019. "Comparing Tests for Identification of Bubbles," CREATES Research Papers 2019-16, Department of Economics and Business Economics, Aarhus University.
    3. Xie, Zixiong & Chen, Shyh-Wei & Wu, An-Chi, 2019. "Asymmetric adjustment, non-linearity and housing price bubbles: New international evidence," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    4. Janusz Sobieraj & Dominik Metelski, 2021. "Testing Housing Markets for Episodes of Exuberance: Evidence from Different Polish Cities," JRFM, MDPI, vol. 14(9), pages 1-29, September.
    5. Robinson Kruse & Christoph Wegener, 2019. "Explosive behaviour and long memory with an application to European bond yield spreads," Scottish Journal of Political Economy, Scottish Economic Society, vol. 66(1), pages 139-153, February.
    6. Skrobotov Anton, 2023. "Testing for explosive bubbles: a review," Dependence Modeling, De Gruyter, vol. 11(1), pages 1-26, January.
    7. Yiu Lim Lui & Weilin Xiao & Jun Yu, 2021. "Mildly Explosive Autoregression with Anti‐persistent Errors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(2), pages 518-539, April.
    8. Christis Katsouris, 2023. "Estimation and Inference in Threshold Predictive Regression Models with Locally Explosive Regressors," Papers 2305.00860, arXiv.org, revised May 2023.
    9. Virtanen, Timo & Tölö, Eero & Virén, Matti & Taipalus, Katja, 2018. "Can bubble theory foresee banking crises?," Journal of Financial Stability, Elsevier, vol. 36(C), pages 66-81.
    10. Tsai, I-Chun & Lin, Che-Chun, 2022. "A re-examination of housing bubbles: Evidence from European countries," Economic Systems, Elsevier, vol. 46(2).
    11. Nicolas Cofre & Magdalena Mosionek-Schweda, 2023. "A simulated electronic market with speculative behaviour and bubble formation," Papers 2311.12247, arXiv.org.

  2. Lasse Bork & Stig V. Møller & Thomas Q. Pedersen, 2016. "A New Index of Housing Sentiment," CREATES Research Papers 2016-32, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Timmermann, Allan & Møller, Stig & Pedersen, Thomas & Schütte, Erik Christian Montes, 2021. "Search and Predictability of Prices in the Housing Market," CEPR Discussion Papers 15875, C.E.P.R. Discussion Papers.
    2. Rangan Gupta & Hardik A. Marfatia & Christian Pierdzioch & Afees A. Salisu, 2020. "Machine Learning Predictions of Housing Market Synchronization across US States: The Role of Uncertainty," Working Papers 202077, University of Pretoria, Department of Economics.
    3. Daniel Goller & Tamara Harrer & Michael Lechner & Joachim Wolff, 2021. "Active labour market policies for the long-term unemployed: New evidence from causal machine learning," Papers 2106.10141, arXiv.org, revised May 2023.
    4. Petre Caraiani & Rangan Gupta & Chi Keung Marco Lau & Hardik A. Marfatia, 2022. "Effects of Conventional and Unconventional Monetary Policy Shocks on Housing Prices in the United States: The Role of Sentiment," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 23(3), pages 241-261, July.
    5. Christophe André & Petre Caraiani & Adrian Cantemir Čalin & Rangan Gupta, 2018. "Can Monetary Policy Lean against Housing Bubbles?," Working Papers 201877, University of Pretoria, Department of Economics.
    6. Christos Bouras & Christina Christou & Rangan Gupta & Keagile Lesame, 2020. "Forecasting State- and MSA-Level Housing Returns of the US: The Role of Mortgage Default Risks," Working Papers 202037, University of Pretoria, Department of Economics.
    7. Rangan Gupta & Jun Ma & Konstantinos Theodoridis & Mark E. Wohar, 2020. "Is there a National Housing Market Bubble Brewing in the United States?," Working Papers 202023, University of Pretoria, Department of Economics.
    8. Christophe Andre & David Gabauer & Rangan Gupta, 2020. "Time-Varying Spillovers between Housing Sentiment and Housing Market in the United States," Working Papers 202091, University of Pretoria, Department of Economics.
    9. Borup, Daniel & Christensen, Bent Jesper & Mühlbach, Nicolaj Søndergaard & Nielsen, Mikkel Slot, 2023. "Targeting predictors in random forest regression," International Journal of Forecasting, Elsevier, vol. 39(2), pages 841-868.
    10. Oguzhan Cepni & Rangan Gupta & Christian Pierdzioch, 2024. "Forecasting Growth-at-Risk of the United States: Housing Price versus Housing Sentiment or Attention," Working Papers 202401, University of Pretoria, Department of Economics.
    11. Hardik A. Marfatia & Christophe André & Rangan Gupta, 2022. "Predicting Housing Market Sentiment: The Role of Financial, Macroeconomic and Real Estate Uncertainties," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 23(2), pages 189-209, May.
    12. Gong, Xue & Zhang, Weiguo & Wang, Junbo & Wang, Chao, 2022. "Investor sentiment and stock volatility: New evidence," International Review of Financial Analysis, Elsevier, vol. 80(C).
    13. Rangan Gupta & Chi Keung Marco Lau & Vasilios Plakandaras & Wing-Keung Wong, 2018. "The Role of Housing Sentiment in Forecasting US Home Sales Growth: Evidence from a Bayesian Compressed Vector Autoregressive Model," Working Papers 201842, University of Pretoria, Department of Economics.
    14. Luiz Renato Lima & Lucas Lúcio Godeiro, 2023. "Equity‐premium prediction: Attention is all you need," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(1), pages 105-122, January.
    15. Oguzhan Cepni & Rangan Gupta & Yigit Onay, 2022. "The role of investor sentiment in forecasting housing returns in China: A machine learning approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(8), pages 1725-1740, December.
    16. Shao, Jin & Hong, Jingke & Wang, Xianzhu & Yan, Xiaochen, 2023. "The relationship between social media sentiment and house prices in China: Evidence from text mining and wavelet analysis," Finance Research Letters, Elsevier, vol. 57(C).
    17. Schmeling, Maik & Schrimpf, Andreas & Steffensen, Sigurd A.M., 2022. "Monetary policy expectation errors," Journal of Financial Economics, Elsevier, vol. 146(3), pages 841-858.
    18. Christou, Christina & Gupta, Rangan & Nyakabawo, Wendy, 2019. "Time-varying impact of uncertainty shocks on the US housing market," Economics Letters, Elsevier, vol. 180(C), pages 15-20.
    19. Bauer, Gregory H., 2017. "International house price cycles, monetary policy and credit," Journal of International Money and Finance, Elsevier, vol. 74(C), pages 88-114.
    20. Rangan Gupta & Chi Keung Marco Lau & Wendy Nyakabawo, 2018. "Predicting Aggregate and State-Level US House Price Volatility: The Role of Sentiment," Working Papers 201866, University of Pretoria, Department of Economics.
    21. Xu Gong & Keqin Guan & Qiyang Chen, 2022. "The role of textual analysis in oil futures price forecasting based on machine learning approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(10), pages 1987-2017, October.
    22. André, Christophe & Gabauer, David & Gupta, Rangan, 2021. "Time-varying spillovers between housing sentiment and housing market in the United States☆," Finance Research Letters, Elsevier, vol. 42(C).

  3. Tom Engsted & Simon J. Hviid & Thomas Q. Pedersen, 2015. "Explosive bubbles in house prices? Evidence from the OECD countries," CREATES Research Papers 2015-01, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Jean-Louis Bago & Koffi Akakpo & Imad Rherrad & Ernest Ouédraogo, 2021. "Volatility Spillover and International Contagion of Housing Bubbles," JRFM, MDPI, vol. 14(7), pages 1-14, June.
    2. Yang Hu, 2023. "A review of Phillips‐type right‐tailed unit root bubble detection tests," Journal of Economic Surveys, Wiley Blackwell, vol. 37(1), pages 141-158, February.
    3. Renhe Liu & Eddie Chi-man Hui & Jiaqi Lv & Yi Chen, 2017. "What Drives Housing Markets: Fundamentals or Bubbles?," The Journal of Real Estate Finance and Economics, Springer, vol. 55(4), pages 395-415, November.
    4. Hertrich Markus, 2019. "A Novel Housing Price Misalignment Indicator for Germany," German Economic Review, De Gruyter, vol. 20(4), pages 759-794, December.
    5. Greenaway-McGrevy, Ryan & Sorensen, Kade, 2021. "A Time-Varying Hedonic Approach to quantifying the effects of loss aversion on house prices," Economic Modelling, Elsevier, vol. 99(C).
    6. Tobias Basse & Robinson Kruse & Christoph Wegener, 2017. "The Walking Debt Crisis," CREATES Research Papers 2017-06, Department of Economics and Business Economics, Aarhus University.
    7. Sofoklis Vogiazas & Constantinos Alexiou, 2017. "Determinants of Housing Prices and Bubble Detection: Evidence from Seven Advanced Economies," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 45(1), pages 119-131, March.
    8. Shuping Shi & Arafat Rahman & Ben Zhe Wang, 2020. "Australian Housing Market Booms: Fundamentals or Speculation?☆," The Economic Record, The Economic Society of Australia, vol. 96(315), pages 381-401, December.
    9. Tsai, I-Chun & Chiang, Shu-Hen, 2019. "Exuberance and spillovers in housing markets: Evidence from first- and second-tier cities in China," Regional Science and Urban Economics, Elsevier, vol. 77(C), pages 75-86.
    10. Efthymios Pavlidis & Ivan Paya & David Alan Peel & Alisa Yevgenyevna Yusupova, 2017. "Exuberance in the U.K. Regional Housing Markets," Working Papers 168117137, Lancaster University Management School, Economics Department.
    11. Jean-Charles Bricongne & Baptiste Meunier & Sylvain Pouget, 2023. "Web-scraping housing prices in real-time: The Covid-19 crisis in the UK," SciencePo Working papers Main hal-04064185, HAL.
    12. Valerie Grossman & Enrique Martínez García & Efthymios Pavlidis, 2017. "Detecting Periods of Exuberance: A Look at the Role of Aggregation with an Application to House Prices," Globalization Institute Working Papers 325, Federal Reserve Bank of Dallas.
    13. Kruse, Robinson & Kaufmann, Hendrik & Wegener, Christoph, 2018. "Bias-corrected estimation for speculative bubbles in stock prices," Economic Modelling, Elsevier, vol. 73(C), pages 354-364.
    14. Paolo Gelain & Kevin J. Lansing & Gisele J. Natvik, 2015. "Explaining the Boom-Bust Cycle in the U.S. Housing Market: A Reverse-Engineering Approach," Working Paper Series 2015-2, Federal Reserve Bank of San Francisco.
    15. Hudepohl, Tom & van Lamoen, Ryan & de Vette, Nander, 2021. "Quantitative easing and exuberance in stock markets: Evidence from the euro area," Journal of International Money and Finance, Elsevier, vol. 118(C).
    16. Xie, Zixiong & Chen, Shyh-Wei & Wu, An-Chi, 2019. "Asymmetric adjustment, non-linearity and housing price bubbles: New international evidence," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    17. Chen, Shyh-Wei & Xie, Zixiong, 2017. "Asymmetric adjustment and smooth breaks in dividend yields: Evidence from international stock markets," International Review of Economics & Finance, Elsevier, vol. 48(C), pages 339-354.
    18. Konstantin A. Kholodilin & Claus Michelsen, 2019. "Zehn Jahre nach dem großen Knall: wie ist es um die Stabilität der internationalen Immobilienmärkte bestellt? [Ten years after a Big Bang: How stable are the international housing markets?]," Zeitschrift für Immobilienökonomie (German Journal of Real Estate Research), Springer;Gesellschaft für Immobilienwirtschaftliche Forschung e. V., vol. 5(1), pages 67-87, November.
    19. Konstantin A. Kholodilin & Sebastian Kohl & Florian Müller, 2023. "Government-Made House Price Bubbles? Austerity, Homeownership, Rental, and Credit Liberalization Policies and the “Irrational Exuberance” on Housing Markets," Discussion Papers of DIW Berlin 2061, DIW Berlin, German Institute for Economic Research.
    20. Rafiq Ahmed & Syed Tehseen Jawaid & Samina Khalil, 2021. "Bubble Detection in Housing Market: Evidence From a Developing Country," SAGE Open, , vol. 11(2), pages 21582440211, April.
    21. Janusz Sobieraj & Dominik Metelski, 2021. "Testing Housing Markets for Episodes of Exuberance: Evidence from Different Polish Cities," JRFM, MDPI, vol. 14(9), pages 1-29, September.
    22. Engsted, Tom & Pedersen, Thomas Q., 2014. "Housing market volatility in the OECD area: Evidence from VAR based return decompositions," Journal of Macroeconomics, Elsevier, vol. 42(C), pages 91-103.
    23. Petre Caraiani & Adrian Cantemir Călin, 2020. "Housing markets, monetary policy, and the international co‐movement of housing bubbles," Review of International Economics, Wiley Blackwell, vol. 28(2), pages 365-375, May.
    24. Vicente Esteve & María A. Prats, 2021. "Testing for rational bubbles in Australian housing market from a long-term perspective," Working Papers 2113, Department of Applied Economics II, Universidad de Valencia.
    25. Wang, Xichen & Liu, Qingya, 2023. "Can the global financial cycle explain the episodes of exuberance in international housing markets?," Finance Research Letters, Elsevier, vol. 52(C).
    26. Suari-Andreu, Eduard, 2021. "Housing and household consumption: An investigation of the wealth and collateral effects," Journal of Housing Economics, Elsevier, vol. 54(C).
    27. Robinson Kruse & Christoph Wegener, 2019. "Explosive behaviour and long memory with an application to European bond yield spreads," Scottish Journal of Political Economy, Scottish Economic Society, vol. 66(1), pages 139-153, February.
    28. Skrobotov Anton, 2023. "Testing for explosive bubbles: a review," Dependence Modeling, De Gruyter, vol. 11(1), pages 1-26, January.
    29. Song Shi & Vince Mangioni & Xin Janet Ge & Shanaka Herath & Fethi Rabhi & Rachida Ouysse, 2021. "House Price Forecasting from Investment Perspectives," Land, MDPI, vol. 10(10), pages 1-17, September.
    30. Anton Skrobotov, 2022. "Testing for explosive bubbles: a review," Papers 2207.08249, arXiv.org.
    31. Albulescu, C.T. & Bouri, E. & Tiwari, A.K. & Roubaud, D., 2020. "Quantile causality between banking stock and real estate securities returns in the US," The Quarterly Review of Economics and Finance, Elsevier, vol. 78(C), pages 251-260.
    32. Valerie Grossman & Enrique Martínez García, 2018. "Explosive Dynamics in House Prices? An Exploration of Financial Market Spillovers in Housing Markets Around the World," Globalization Institute Working Papers 342, Federal Reserve Bank of Dallas.
    33. ZEREN, Feyyaz & ERGÜZEL, Oylum Şehvez, 2015. "Testing For Bubbles In The Housing Market: Further Evidence From Turkey," Studii Financiare (Financial Studies), Centre of Financial and Monetary Research "Victor Slavescu", vol. 19(1), pages 40-52.
    34. Geoffrey Poitras & Giovanna Zanotti, 2018. "Housing Market Bubbles and Mortgage Contract Design: Implications for Mortgage Lenders and Households," JRFM, MDPI, vol. 11(3), pages 1-18, July.
    35. Alona Shmygel, 2022. "House Price Bubble Detection in Ukraine," IHEID Working Papers 22-2022, Economics Section, The Graduate Institute of International Studies.
    36. F Chorley & C Liu, 2021. "Does UK social housing affect housing prices and economic growth? An application of the ARDL model," Economic Issues Journal Articles, Economic Issues, vol. 26(1), pages 21-43, March.
    37. Pedersen, Thomas Quistgaard & Schütte, Erik Christian Montes, 2020. "Testing for explosive bubbles in the presence of autocorrelated innovations," Journal of Empirical Finance, Elsevier, vol. 58(C), pages 207-225.
    38. Wang, Wen-Kai & Lin, Che-Chun & Tsai, I-Chun, 2022. "Long- and short-term price behaviors in presale housing markets in Taiwan," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 350-364.
    39. Floro, Danvee, 2019. "Testing the predictive ability of house price bubbles for macroeconomic performance: A meta-analytic approach," International Review of Financial Analysis, Elsevier, vol. 62(C), pages 164-181.
    40. Basse, Tobias & Klein, Tony & Vigne, Samuel A. & Wegener, Christoph, 2021. "U.S. stock prices and the dot.com-bubble: Can dividend policy rescue the efficient market hypothesis?," Journal of Corporate Finance, Elsevier, vol. 67(C).
    41. Jose Eduardo Gomez-Gonzalez & Juliana Gamboa-Arbeláez & Jorge Hirs-Garzón & Andrés Pinchao-Rosero, 2018. "When Bubble Meets Bubble: Contagion in OECD Countries," The Journal of Real Estate Finance and Economics, Springer, vol. 56(4), pages 546-566, May.
    42. Evren Ceritoglu & Seyit Mumin Cilasun & Ufuk Demiroglu & Aytul Ganioglu, 2019. "An analysis to detect exuberance and implosion in regional house prices in Turkey," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 19(2), pages 67-82.
    43. Esteve Vicente & Prats Maria A., 2021. "Structural Breaks and Explosive Behavior in the Long-Run: The Case of Australian Real House Prices, 1870–2020," Economics - The Open-Access, Open-Assessment Journal, De Gruyter, vol. 15(1), pages 72-84, January.
    44. Bell, Adrian R. & Brooks, Chris & Killick, Helen, 2022. "The first real estate bubble? Land prices and rents in medieval England c. 1300–1500," Research in International Business and Finance, Elsevier, vol. 62(C).
    45. Miyakoshi, Tatsuyoshi & Li, Kui-Wai & Shimada, Junji & Tsukuda, Yoshihiko, 2020. "The impact of quantitative easing and carry trade on the real estate market in Hong Kong," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 958-976.
    46. Chen, Shyh-Wei & Wu, An-Chi, 2018. "Is there a bubble component in government debt? New international evidence," International Review of Economics & Finance, Elsevier, vol. 58(C), pages 467-486.
    47. Kurmaş Akdoğan, 2019. "Size and sign asymmetries in house price adjustments," Applied Economics, Taylor & Francis Journals, vol. 51(48), pages 5268-5281, October.
    48. Itamar Caspi, 2015. "Testing for a housing bubble at the national and regional level: the case of Israel," Globalization Institute Working Papers 246, Federal Reserve Bank of Dallas.
    49. Jean-Louis Bago & Imad Rherrad & Koffi Akakpo & Ernest Ouédraogo, 2022. "An Empirical Investigation on Bubbles Contagion in Scandinavian Real Estate Markets," Businesses, MDPI, vol. 2(1), pages 1-8, March.
    50. Gil-Alana, Luis Alberiko & Dettoni, Robinson & Costamagna, Rodrigo & Valenzuela, Mario, 2019. "Rational bubbles in the real housing stock market: Empirical evidence from Santiago de Chile," Research in International Business and Finance, Elsevier, vol. 49(C), pages 269-281.
    51. Benjamas Jirasakuldech & Riza Emekter & Thuy Bui, 2023. "Non-linear structures, chaos, and bubbles in U.S. regional housing markets," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 47(1), pages 63-93, March.
    52. Butt, Muhammad Danial & Ahmed, Mumtaz, 2019. "Testing for Multiple Bubbles in Inflation for Pakistan," MPRA Paper 96847, University Library of Munich, Germany.
    53. Tsai, I-Chun & Lin, Che-Chun, 2022. "A re-examination of housing bubbles: Evidence from European countries," Economic Systems, Elsevier, vol. 46(2).
    54. Wolfgang Kloppenburg, 2021. "Are Real Estate Prices Evolving into an Asset Price Bubble?," ACTA VSFS, University of Finance and Administration, vol. 15(1), pages 36-48.
    55. Butt, Muhammad Danial & Ahmed, Mumtaz, 2019. "Testing for Multiple Bubbles in Inflation for Pakistan," MPRA Paper 96705, University Library of Munich, Germany.
    56. Graczyk, Andrew & Phan, Toan, 2021. "Regressive Welfare Effects Of Housing Bubbles," Macroeconomic Dynamics, Cambridge University Press, vol. 25(8), pages 2102-2127, December.
    57. Damjanović, Milan & Lenarčič, Črt, 2023. "Constructing a house price misalignment indicator: revisited and revamped," MPRA Paper 118489, University Library of Munich, Germany.
    58. Bago, Jean-Louis & Souratié, Wamadini M. & Ouédraogo, Moussa & Ouédraogo, Ernest & Dembélé, Alou, 2019. "Financial Bubbles : New Evidence from South Africa’s Stock Market," MPRA Paper 95685, University Library of Munich, Germany.
    59. Juan Huang & Geoffrey Qiping Shen, 2017. "Residential housing bubbles in Hong Kong: identification and explanation based on GSADF test and dynamic probit model," Journal of Property Research, Taylor & Francis Journals, vol. 34(2), pages 108-128, April.
    60. Alexakis, Christos & Bagnarosa, Guillaume & Dowling, Michael, 2017. "Do cointegrated commodities bubble together? the case of hog, corn, and soybean," Finance Research Letters, Elsevier, vol. 23(C), pages 96-102.
    61. Martijn (M.I.) Droes & Ryan van Lamoen & Simona Mattheussens, 2017. "Quantitative Easing and Exuberance in Government Bond Markets: Evidence from the ECB's Expanded Assets Purchase Program," Tinbergen Institute Discussion Papers 17-080/IV, Tinbergen Institute.
    62. Stéphane Goutte & David Guerreiro & Bilel Sanhaji & Sophie Saglio & Julien Chevallier, 2019. "International Financial Markets," Post-Print halshs-02183053, HAL.

  4. Tom Engsted & Thomas Q. Pedersen, 2013. "Housing market volatility in the OECD area: Evidence from VAR based return decompositions," CREATES Research Papers 2013-04, Department of Economics and Business Economics, Aarhus University.

    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. Renhe Liu & Eddie Chi-man Hui & Jiaqi Lv & Yi Chen, 2017. "What Drives Housing Markets: Fundamentals or Bubbles?," The Journal of Real Estate Finance and Economics, Springer, vol. 55(4), pages 395-415, November.
    3. Engsted, Tom & Hviid, Simon J. & Pedersen, Thomas Q., 2016. "Explosive bubbles in house prices? Evidence from the OECD countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 40(C), pages 14-25.
    4. Xian Zheng, 2015. "Expectation, volatility and liquidity in the housing market," Applied Economics, Taylor & Francis Journals, vol. 47(37), pages 4020-4035, August.
    5. Weida Kuang & Qilin Wang, 2018. "Cultural similarities and housing market linkage: evidence from OECD countries," Frontiers of Business Research in China, Springer, vol. 12(1), pages 1-25, December.
    6. Engsted, Tom & Pedersen, Thomas Q., 2015. "Predicting returns and rent growth in the housing market using the rent-price ratio: Evidence from the OECD countries," Journal of International Money and Finance, Elsevier, vol. 53(C), pages 257-275.
    7. Mustafa Ozan Yıldırım & Mehmet İvrendi, 2021. "Turkish Housing Market Dynamics: An Estimated DSGE Model," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 15(2), pages 238-267, May.
    8. Rangan Gupta & Chi Keung Marco Lau & Wendy Nyakabawo, 2018. "Predicting Aggregate and State-Level US House Price Volatility: The Role of Sentiment," Working Papers 201866, University of Pretoria, Department of Economics.

  5. Tom Engsted & Thomas Q. Pedersen, 2012. "Predicting returns and rent growth in the housing market using the rent-to-price ratio: Evidence from the OECD countries," CREATES Research Papers 2012-58, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Jean-Louis Bago & Koffi Akakpo & Imad Rherrad & Ernest Ouédraogo, 2021. "Volatility Spillover and International Contagion of Housing Bubbles," JRFM, MDPI, vol. 14(7), pages 1-14, June.
    2. Brian Micallef & Nathaniel Debono, 2020. "The rental sector and the housing block in STREAM," CBM Working Papers WP/03/2020, Central Bank of Malta.
    3. Paolo Gelain & Kevin J. Lansing, 2013. "House prices, expectations, and time-varying fundamentals," Working Paper 2013/05, Norges Bank.
    4. Engsted, Tom & Hviid, Simon J. & Pedersen, Thomas Q., 2016. "Explosive bubbles in house prices? Evidence from the OECD countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 40(C), pages 14-25.
    5. John C. Williams, 2013. "Bubbles tomorrow and bubbles yesterday, but never bubbles today?," FRBSF Economic Letter, Federal Reserve Bank of San Francisco, issue sept23.
    6. Stefano Colonnello & Roberto Marfè & Qizhou Xiong, 2021. "Housing Yields," Working Papers 2021:21, Department of Economics, University of Venice "Ca' Foscari", revised 2021.
    7. Tsai, I-Chun & Chiang, Shu-Hen, 2019. "Exuberance and spillovers in housing markets: Evidence from first- and second-tier cities in China," Regional Science and Urban Economics, Elsevier, vol. 77(C), pages 75-86.
    8. Jean-Charles Bricongne & Baptiste Meunier & Sylvain Pouget, 2023. "Web-scraping housing prices in real-time: The Covid-19 crisis in the UK," SciencePo Working papers Main hal-04064185, HAL.
    9. Singh, Bhupal, 2023. "Housing prices and macroprudential policies: Evidence from microdata," Economic Systems, Elsevier, vol. 47(1).
    10. Pfeifer Norbert & Steurer Miriam, 2022. "Early Real Estate Indicators during the COVID-19 Crisis," Journal of Official Statistics, Sciendo, vol. 38(1), pages 319-351, March.
    11. Engsted, Tom & Pedersen, Thomas Q., 2014. "Housing market volatility in the OECD area: Evidence from VAR based return decompositions," Journal of Macroeconomics, Elsevier, vol. 42(C), pages 91-103.
    12. Dittmann Iwona, 2017. "Similarity of Changes in Average Prices of Residential Properties in Europe in 2010-2016," Real Estate Management and Valuation, Sciendo, vol. 25(4), pages 63-74, December.
    13. Demetrescu, Matei & Rodrigues, Paulo M.M., 2022. "Residual-augmented IVX predictive regression," Journal of Econometrics, Elsevier, vol. 227(2), pages 429-460.
    14. Dooruj Rambaccussing, 2021. "The price–rent ratio inequality in Scottish Cities: fluctuations in discount rates and expected rent growth," SN Business & Economics, Springer, vol. 1(9), pages 1-15, September.
    15. Glenn Otto & Nigel Stapledon, 2017. "How Predictable? Rent Growth and Returns in Sydney and Melbourne Housing Markets," Discussion Papers 2017-01, School of Economics, The University of New South Wales.
    16. Hodula, Martin & Melecký, Martin & Pfeifer, Lukáš & Szabo, Milan, 2023. "Cooling the mortgage loan market: The effect of borrower-based limits on new mortgage lending," Journal of International Money and Finance, Elsevier, vol. 132(C).
    17. Floro, Danvee, 2019. "Testing the predictive ability of house price bubbles for macroeconomic performance: A meta-analytic approach," International Review of Financial Analysis, Elsevier, vol. 62(C), pages 164-181.
    18. Jean-Louis Bago & Imad Rherrad & Koffi Akakpo & Ernest Ouédraogo, 2022. "An Empirical Investigation on Bubbles Contagion in Scandinavian Real Estate Markets," Businesses, MDPI, vol. 2(1), pages 1-8, March.
    19. Bauer, Gregory H., 2017. "International house price cycles, monetary policy and credit," Journal of International Money and Finance, Elsevier, vol. 74(C), pages 88-114.
    20. Martin Hodula & Milan Szabo & Lukas Pfeifer & Martin Melecky, 2022. "Cooling the Mortgage Loan Market: The Effect of Recommended Borrower-Based Limits on New Mortgage Lending," Working Papers 2022/3, Czech National Bank.
    21. Galina An & Charles Becker & Enoch Cheng, 2021. "Bubbling Away: Forecasting Real Estate Prices, Rents, and Bubbles in a Transition Economy," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 63(2), pages 263-317, June.
    22. Bago, Jean-Louis & Souratié, Wamadini M. & Ouédraogo, Moussa & Ouédraogo, Ernest & Dembélé, Alou, 2019. "Financial Bubbles : New Evidence from South Africa’s Stock Market," MPRA Paper 95685, University Library of Munich, Germany.
    23. Baye, Vera & Dinger, Valeriya, 2022. "Investment Incentives of Rent Controls and Gentrification - Evidence from German Micro Data," VfS Annual Conference 2022 (Basel): Big Data in Economics 264120, Verein für Socialpolitik / German Economic Association.

  6. Tom Engsted & Thomas Q. Pedersen, 2011. "Bias-correction in vector autoregressive models: A simulation study," CREATES Research Papers 2011-18, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Pham, Quynh Thi Thuy, 2021. "Stock Return Predictability: Evidence Across US Industries," Finance Research Letters, Elsevier, vol. 38(C).
    2. Stefan Bruder & Michael Wolf, 2017. "Balanced bootstrap joint confidence bands for structural impulse response functions," ECON - Working Papers 246, Department of Economics - University of Zurich, revised Jan 2018.
    3. Engsted, Tom & Hviid, Simon J. & Pedersen, Thomas Q., 2016. "Explosive bubbles in house prices? Evidence from the OECD countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 40(C), pages 14-25.
    4. Stefan Bruder, 2014. "Comparing several methods to compute joint prediction regions for path forecasts generated by vector autoregressions," ECON - Working Papers 181, Department of Economics - University of Zurich, revised Dec 2015.
    5. Cavaliere, Giuseppe & Taylor, A. M. Robert & Trenkler, Carsten, 2013. "Bootstrap Co-integration Rank Testing: The Effect of Bias-Correcting Parameter Estimates," Working Papers 32993, University of Mannheim, Department of Economics.
    6. Kruse, Robinson & Kaufmann, Hendrik & Wegener, Christoph, 2018. "Bias-corrected estimation for speculative bubbles in stock prices," Economic Modelling, Elsevier, vol. 73(C), pages 354-364.
    7. Engsted, Tom & Pedersen, Thomas Q., 2012. "Return predictability and intertemporal asset allocation: Evidence from a bias-adjusted VAR model," Journal of Empirical Finance, Elsevier, vol. 19(2), pages 241-253.
    8. Marian Vavra, 2015. "On a Bootstrap Test for Forecast Evaluations," Working and Discussion Papers WP 5/2015, Research Department, National Bank of Slovakia.
    9. Engel, Charles & Kazakova, Katya & Wang, Mengqi & Xiang, Nan, 2022. "A reconsideration of the failure of uncovered interest parity for the U.S. dollar," Journal of International Economics, Elsevier, vol. 136(C).
    10. Kai Shi, 2021. "Spillovers of Stock Markets among the BRICS: New Evidence in Time and Frequency Domains before the Outbreak of COVID-19 Pandemic," JRFM, MDPI, vol. 14(3), pages 1-37, March.
    11. Juraj Hucek & Alexander Karsay & Marian Vavra, 2015. "Short-term Forecasting of Real GDP Using Monthly Data," Working and Discussion Papers OP 1/2015, Research Department, National Bank of Slovakia.
    12. Canepa Alessandra, 2022. "Small Sample Adjustment for Hypotheses Testing on Cointegrating Vectors," Journal of Time Series Econometrics, De Gruyter, vol. 14(1), pages 51-85, January.
    13. Hendrik Kaufmannz & Robinson Kruse, 2013. "Bias-corrected estimation in potentially mildly explosive autoregressive models," CREATES Research Papers 2013-10, Department of Economics and Business Economics, Aarhus University.

  7. Tom Engsted & Thomas Q. Pedersen & Carsten Tanggaard, 2010. "Pitfalls in VAR based return decompositions: A clarification," CREATES Research Papers 2010-09, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Schmeling, Maik & Schrimpf, Paul & Kroencke, Tim, 2019. "The FOMC Risk Shift," CEPR Discussion Papers 14037, C.E.P.R. Discussion Papers.
    2. Paulo Maio, 2014. "Another Look at the Stock Return Response to Monetary Policy Actions," Review of Finance, European Finance Association, vol. 18(1), pages 321-371.
    3. Dr. Thomas Nitschka, 2014. "The Good? The Bad? The Ugly? Which news drive (co)variation in Swiss and US bond and stock excess returns?," Working Papers 2014-01, Swiss National Bank.
    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. Zolotoy, Leon & Frederickson, James R. & Lyon, John D., 2017. "Aggregate earnings and stock market returns: The good, the bad, and the state-dependent," Journal of Banking & Finance, Elsevier, vol. 77(C), pages 157-175.
    6. Campbell, John Y. & Giglio, Stefano & Polk, Christopher, 2013. "Hard Times," Scholarly Articles 12172786, Harvard University Department of Economics.
    7. Kozak, Serhiy & Santosh, Shrihari, 2020. "Why do discount rates vary?," Journal of Financial Economics, Elsevier, vol. 137(3), pages 740-751.
    8. Ignatieva, Katja & Landsman, Zinoviy, 2019. "Conditional tail risk measures for the skewed generalised hyperbolic family," Insurance: Mathematics and Economics, Elsevier, vol. 86(C), pages 98-114.
    9. Dooruj McRambaccussing, 2015. "Moment Matching in the Present Value identity, and a New Model," Dundee Discussion Papers in Economics 291, Economic Studies, University of Dundee.
    10. Acker, Daniella & Duck, Nigel W., 2013. "Inflation illusion and the US dividend yield: Some further evidence," Journal of International Money and Finance, Elsevier, vol. 33(C), pages 235-254.
    11. Cenedese, Gino & Mallucci, Enrico, 2016. "What moves international stock and bond markets?," Journal of International Money and Finance, Elsevier, vol. 60(C), pages 94-113.
    12. Mihai, Marius M. & Mansur, Iqbal, 2022. "Forecasting crash risk in U.S. bank returns—The role of credit booms," Journal of Corporate Finance, Elsevier, vol. 76(C).
    13. Martijn Boons & Frans de Roon & Fernando M. Duarte & Marta Szymanowska, 2013. "Time-Varying Inflation Risk and Stock Returns," Staff Reports 621, Federal Reserve Bank of New York.
    14. Xiaojin Sun & Kwok Ping Tsang, 2018. "The impact of monetary policy on local housing markets: Do regulations matter?," Empirical Economics, Springer, vol. 54(3), pages 989-1015, May.
    15. Ma, Jun & Wohar, Mark E., 2014. "Determining what drives stock returns: Proper inference is crucial: Evidence from the UK," International Review of Economics & Finance, Elsevier, vol. 33(C), pages 371-390.
    16. Alexandros Kontonikas & Paulo Maio & Zivile Zekaite, 2016. "Monetary Policy and Corporate Bond Returns," Working Papers 2016_05, Business School - Economics, University of Glasgow.
    17. Kiss, Tamás & Mazur, Stepan & Nguyen, Hoang, 2022. "Predicting returns and dividend growth — The role of non-Gaussian innovations," Finance Research Letters, Elsevier, vol. 46(PA).
    18. Julio Sarmiento & Mehdi Sadeghi & Juan S. Sandoval & Edgardo Cayon, 2021. "The application of proxy methods for estimating the cost of equity for unlisted companies: evidence from listed firms," Review of Quantitative Finance and Accounting, Springer, vol. 57(3), pages 1009-1031, October.
    19. Chortareas, Georgios & Noikokyris, Emmanouil, 2014. "Oil shocks, stock market prices, and the U.S. dividend yield decomposition," International Review of Economics & Finance, Elsevier, vol. 29(C), pages 639-649.
    20. Engsted, Tom & Pedersen, Thomas Q., 2014. "Housing market volatility in the OECD area: Evidence from VAR based return decompositions," Journal of Macroeconomics, Elsevier, vol. 42(C), pages 91-103.
    21. Shiller, Robert J., 2013. "Speculative Asset Prices," Nobel Prize in Economics documents 2013-6, Nobel Prize Committee.
    22. Kim, Jan R. & Lim, Gieyoung, 2016. "Fundamentals and rational bubbles in the Korean housing market: A modified present-value approach," Economic Modelling, Elsevier, vol. 59(C), pages 174-181.
    23. Bianchi, Francesco, 2020. "The Great Depression and the Great Recession: A view from financial markets," Journal of Monetary Economics, Elsevier, vol. 114(C), pages 240-261.
    24. Botshekan, Mahmoud & Kräussl, Roman & Lucas, André, 2010. "Cash flow and discount rate risk in up and down markets: What is actually priced?," CFS Working Paper Series 2010/20, Center for Financial Studies (CFS).
    25. Joseph Fairchild & Jun Ma & Shu Wu, 2015. "Understanding Housing Market Volatility," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(7), pages 1309-1337, October.
    26. Wu, Ming & Ohk, Kiyool & Ko, Kwangsoo, 2019. "Are cash-flow betas really bad? Evidence from the Greater Chinese stock markets," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 58-68.
    27. Alexandros Kontonikas & Charles Nolan & Zivile Zekaite, 2015. "Always and Everywhere Inflation? Treasuries Variance Decomposition and the Impact of Monetary Policy," Working Papers 2015_17, Business School - Economics, University of Glasgow.
    28. Fausch, Jürg & Sigonius, Markus, 2018. "The impact of ECB monetary policy surprises on the German stock market," Journal of Macroeconomics, Elsevier, vol. 55(C), pages 46-63.
    29. Jeffrey L. Callen, 2016. "Accounting Valuation and Cost of Equity Capital Dynamics," Abacus, Accounting Foundation, University of Sydney, vol. 52(1), pages 5-25, March.
    30. Thomas Nitschka, 2014. "What News Drive Variation in Swiss and US Bond and Stock Excess Returns?," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 150(II), pages 89-118, June.
    31. Lawrenz, Jochen & Zorn, Josef, 2018. "Decomposing the predictive power of local and global financial valuation ratios," The Quarterly Review of Economics and Finance, Elsevier, vol. 70(C), pages 137-149.
    32. Mohsen Jafarian & Fauzias Mat Nor & Izani Ibrahim, 2018. "The Relative Importance of Cash Flow News and Discount Rate News at Driving Stock Price Change," Capital Markets Review, Malaysian Finance Association, vol. 26(1), pages 56-72.
    33. Lin, Qi, 2018. "Technical analysis and stock return predictability: An aligned approach," Journal of Financial Markets, Elsevier, vol. 38(C), pages 103-123.
    34. Dunbar, Kwamie & Jiang, Jing, 2020. "What do movements in financial traders’ net long positions reveal about aggregate stock returns?," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    35. Chen, Qiang & Han, Yu, 2023. "Options market ambiguity and its information content," Journal of Financial Markets, Elsevier, vol. 64(C).
    36. Wu, Ming & Ohk, Kiyool & Ko, Kwangsoo, 2021. "Does cash-flow news play a better role than discount-rate news? Evidence from global regional stock markets," Journal of International Money and Finance, Elsevier, vol. 110(C).
    37. van Zundert, Jeroen, 2018. "Empirical studies on the cross-section of corporate bond and stock markets," Other publications TiSEM 338205fc-a031-4e06-a636-9, Tilburg University, School of Economics and Management.
    38. Maio, Paulo & Philip, Dennis, 2015. "Macro variables and the components of stock returns," Journal of Empirical Finance, Elsevier, vol. 33(C), pages 287-308.
    39. Tom Engsted & Thomas Q. Pedersen, 2016. "The predictive power of dividend yields for future infl?ation: Money illusion or rational causes?," CREATES Research Papers 2016-11, Department of Economics and Business Economics, Aarhus University.
    40. Callen, Jeffrey L., 2015. "A selective critical review of financial accounting research," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 26(C), pages 157-167.
    41. Bianchi, Francesco, 2015. "Rare Events, Financial Crises, and the Cross-Section of Asset Returns," CEPR Discussion Papers 10520, C.E.P.R. Discussion Papers.
    42. David R. Haab & Thomas Nitschka, 2019. "What Goliaths and Davids among Swiss firms tell us about expected returns on Swiss asset markets," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 155(1), pages 1-17, December.
    43. Galsband, Victoria, 2012. "Downside risk of international stock returns," Journal of Banking & Finance, Elsevier, vol. 36(8), pages 2379-2388.
    44. Maurer, Tim D. & Nitschka, Thomas, 2023. "Stock market evidence on the international transmission channels of US monetary policy surprises," Journal of International Money and Finance, Elsevier, vol. 136(C).
    45. Huang, Dashan & Li, Jiangyuan & Wang, Liyao, 2021. "Are disagreements agreeable? Evidence from information aggregation," Journal of Financial Economics, Elsevier, vol. 141(1), pages 83-101.
    46. Pan, Zheyao & Chan, Kam Fong, 2018. "A new government bond volatility index predictor for the U.S. equity premium," Pacific-Basin Finance Journal, Elsevier, vol. 50(C), pages 200-215.
    47. Guillén, Montserrat & Sarabia, José María & Prieto, Faustino, 2013. "Simple risk measure calculations for sums of positive random variables," Insurance: Mathematics and Economics, Elsevier, vol. 53(1), pages 273-280.
    48. Jian Chen & Jiaquan Yao & Qunzi Zhang & Xiaoneng Zhu, 2023. "Global Disaster Risk Matters," Management Science, INFORMS, vol. 69(1), pages 576-597, January.
    49. Bergman, U. Michael & Sørensen, Peter Birch, 2021. "The interaction of actual and fundamental house prices: A general model with an application to Sweden," Journal of Housing Economics, Elsevier, vol. 54(C).
    50. Cenesizoglu, Tolga, 2022. "Return decomposition over the business cycle," Journal of Banking & Finance, Elsevier, vol. 143(C).
    51. Jiang, Junhua, 2017. "Discount rate or cash flow contagion? Evidence from the recent financial crises," Research in International Business and Finance, Elsevier, vol. 39(PA), pages 315-326.
    52. Lock, Eduardo & Winkelried, Diego, 2015. "Flujos de órdenes en el mercado cambiario y el valor intrínseco del Nuevo Sol," Revista Estudios Económicos, Banco Central de Reserva del Perú, issue 29, pages 33-54.
    53. Rapach, David E. & Ringgenberg, Matthew C. & Zhou, Guofu, 2016. "Short interest and aggregate stock returns," Journal of Financial Economics, Elsevier, vol. 121(1), pages 46-65.

  8. Thomas Q. Pedersen, 2010. "Predictable return distributions," CREATES Research Papers 2010-38, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Alexander, Carol & Han, Yang & Meng, Xiaochun, 2023. "Static and dynamic models for multivariate distribution forecasts: Proper scoring rule tests of factor-quantile versus multivariate GARCH models," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1078-1096.
    2. Pierdzioch, Christian & Risse, Marian & Rohloff, Sebastian, 2015. "A real-time quantile-regression approach to forecasting gold returns under asymmetric loss," Resources Policy, Elsevier, vol. 45(C), pages 299-306.
    3. Gebka, Bartosz & Wohar, Mark E., 2019. "Stock return distribution and predictability: Evidence from over a century of daily data on the DJIA index," International Review of Economics & Finance, Elsevier, vol. 60(C), pages 1-25.
    4. Aslanidis, Nektarios & Christiansen, Charlotte, 2014. "Quantiles of the realized stock–bond correlation and links to the macroeconomy," Journal of Empirical Finance, Elsevier, vol. 28(C), pages 321-331.
    5. Donald Lien & Ziling Wang & Xiaojian Yu, 2021. "Quantile information share under Markov regime‐switching," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(4), pages 493-513, April.
    6. Stanislav Anatolyev & Jozef Barunik, 2017. "Forecasting dynamic return distributions based on ordered binary choice," Papers 1711.05681, arXiv.org, revised Jan 2019.
    7. Pierdzioch, Christian & Risse, Marian & Rohloff, Sebastian, 2016. "A quantile-boosting approach to forecasting gold returns," The North American Journal of Economics and Finance, Elsevier, vol. 35(C), pages 38-55.
    8. Shamsi Zamenjani, Azam, 2021. "Do financial variables help predict the conditional distribution of the market portfolio?," Journal of Empirical Finance, Elsevier, vol. 62(C), pages 327-345.
    9. Demirer, Riza & Pierdzioch, Christian & Zhang, Huacheng, 2017. "On the short-term predictability of stock returns: A quantile boosting approach," Finance Research Letters, Elsevier, vol. 22(C), pages 35-41.
    10. Kaihua Deng, 2015. "Predicting By Learning: An Adaptive Rationale," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 10(02), pages 1-14, December.
    11. Zhu, Min, 2013. "Return distribution predictability and its implications for portfolio selection," International Review of Economics & Finance, Elsevier, vol. 27(C), pages 209-223.
    12. Reber, Beat, 2017. "Does mispricing, liquidity or third-party certification contribute to IPO downside risk?," International Review of Financial Analysis, Elsevier, vol. 51(C), pages 25-53.
    13. Baumann, Ursel & Darracq Pariès, Matthieu & Westermann, Thomas & Riggi, Marianna & Bobeica, Elena & Meyler, Aidan & Böninghausen, Benjamin & Fritzer, Friedrich & Trezzi, Riccardo & Jonckheere, Jana & , 2021. "Inflation expectations and their role in Eurosystem forecasting," Occasional Paper Series 264, European Central Bank.
    14. Gebka, Bartosz & Wohar, Mark E., 2018. "The predictive power of the yield spread for future economic expansions: Evidence from a new approach," Economic Modelling, Elsevier, vol. 75(C), pages 181-195.
    15. Naeem, Muhammad Abubakr & Mbarki, Imen & Shahzad, Syed Jawad Hussain, 2021. "Predictive role of online investor sentiment for cryptocurrency market: Evidence from happiness and fears," International Review of Economics & Finance, Elsevier, vol. 73(C), pages 496-514.
    16. Alexandridis, Antonios K. & Apergis, Iraklis & Panopoulou, Ekaterini & Voukelatos, Nikolaos, 2023. "Equity premium prediction: The role of information from the options market," Journal of Financial Markets, Elsevier, vol. 64(C).
    17. Duc Huynh, Toan Luu & Burggraf, Tobias & Wang, Mei, 2020. "Gold, platinum, and expected Bitcoin returns," Journal of Multinational Financial Management, Elsevier, vol. 56(C).
    18. Dimitrios Koutmos, 2023. "Investor sentiment and bitcoin prices," Review of Quantitative Finance and Accounting, Springer, vol. 60(1), pages 1-29, January.
    19. Donald Lien & Zijun Wang, 2019. "Quantile information share," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(1), pages 38-55, January.
    20. De Gooijer Jan G. & Zerom Dawit, 2020. "Penalized Averaging of Parametric and Non-Parametric Quantile Forecasts," Journal of Time Series Econometrics, De Gruyter, vol. 12(1), pages 1-15, January.

  9. Tom Engsted & Thomas Q. Pedersen & Carsten Tanggaard, 2010. "The log-linear return approximation, bubbles, and predictability," CREATES Research Papers 2010-37, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Paolo Gelain & Kevin J. Lansing, 2013. "House prices, expectations, and time-varying fundamentals," Working Paper 2013/05, Norges Bank.
    2. Yang, Bingduo & Long, Wei & Yang, Zihui, 2022. "Testing predictability of stock returns under possible bubbles," Journal of Empirical Finance, Elsevier, vol. 68(C), pages 246-260.
    3. Engsted, Tom & Hviid, Simon J. & Pedersen, Thomas Q., 2016. "Explosive bubbles in house prices? Evidence from the OECD countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 40(C), pages 14-25.
    4. Efthymios Pavlidis & Alisa Yusupova & Ivan Paya & David Peel & Enrique Martínez-García & Adrienne Mack & Valerie Grossman, 2016. "Episodes of Exuberance in Housing Markets: In Search of the Smoking Gun," The Journal of Real Estate Finance and Economics, Springer, vol. 53(4), pages 419-449, November.
    5. Matthijs Lof, 2015. "Rational Speculators, Contrarians, and Excess Volatility," Management Science, INFORMS, vol. 61(8), pages 1889-1901, August.
    6. Dave, Chetan & Malik, Samreen, 2017. "A tale of fat tails," European Economic Review, Elsevier, vol. 100(C), pages 293-317.
    7. Cenedese, Gino & Mallucci, Enrico, 2016. "What moves international stock and bond markets?," Journal of International Money and Finance, Elsevier, vol. 60(C), pages 94-113.
    8. Bollerslev, Tim & Xu, Lai & Zhou, Hao, 2015. "Stock return and cash flow predictability: The role of volatility risk," Journal of Econometrics, Elsevier, vol. 187(2), pages 458-471.
    9. Rambaccussing, Dooruj, 2015. "Modelling Housing Prices using a Present Value State Space Model," SIRE Discussion Papers 2015-80, Scottish Institute for Research in Economics (SIRE).
    10. Engsted, Tom & Pedersen, Thomas Q., 2014. "Housing market volatility in the OECD area: Evidence from VAR based return decompositions," Journal of Macroeconomics, Elsevier, vol. 42(C), pages 91-103.
    11. Tom Engsted & Thomas Q. Pedersen, 2018. "Disappearing money illusion," CREATES Research Papers 2018-24, Department of Economics and Business Economics, Aarhus University.
    12. Vassilis Polimenis & Ioannis Neokosmidis, 2019. "Non-stationary dividend-price ratios," Journal of Asset Management, Palgrave Macmillan, vol. 20(7), pages 552-567, December.
    13. Tilak Abeysinghe & Jiaying Gu, 2016. "Estimating fundamental and affordable housing price trends: a study based on Singapore," Applied Economics, Taylor & Francis Journals, vol. 48(49), pages 4783-4798, October.
    14. Efthymios Pavlidis & Alisa Yusupova & Ivan Paya & David Peel & Enrique Martinez-Garcia & Adrienne Mack & Valerie Crossman, 2014. "Episodes of exuberance in housing markets," Working Papers 64908732, Lancaster University Management School, Economics Department.
    15. Polimenis, Vassilis & Neokosmidis, Ioannis M., 2016. "The modified dividend–price ratio," International Review of Financial Analysis, Elsevier, vol. 45(C), pages 31-38.
    16. Engsted, Tom & Pedersen, Thomas Q., 2015. "Predicting returns and rent growth in the housing market using the rent-price ratio: Evidence from the OECD countries," Journal of International Money and Finance, Elsevier, vol. 53(C), pages 257-275.
    17. Basse, Tobias & Klein, Tony & Vigne, Samuel A. & Wegener, Christoph, 2021. "U.S. stock prices and the dot.com-bubble: Can dividend policy rescue the efficient market hypothesis?," Journal of Corporate Finance, Elsevier, vol. 67(C).
    18. Maio, Paulo & Xu, Danielle, 2020. "Cash-flow or return predictability at long horizons? The case of earnings yield," Journal of Empirical Finance, Elsevier, vol. 59(C), pages 172-192.
    19. Tom Engsted & Thomas Q. Pedersen, 2016. "The predictive power of dividend yields for future infl?ation: Money illusion or rational causes?," CREATES Research Papers 2016-11, Department of Economics and Business Economics, Aarhus University.
    20. Itamar Caspi, 2015. "Testing for a housing bubble at the national and regional level: the case of Israel," Globalization Institute Working Papers 246, Federal Reserve Bank of Dallas.
    21. Peter C.B. Phillips & Ye Chen, "undated". "Restricted Likelihood Ratio Tests in Predictive Regression," Cowles Foundation Discussion Papers 1968, Cowles Foundation for Research in Economics, Yale University.
    22. Lof, Matthijs, 2013. "Essays on Expectations and the Econometrics of Asset Pricing," MPRA Paper 59064, University Library of Munich, Germany.
    23. Neuhierl, Andreas & Varneskov, Rasmus T., 2021. "Frequency dependent risk," Journal of Financial Economics, Elsevier, vol. 140(2), pages 644-675.
    24. Tom Engsted, 2014. "Fama on bubbles," CREATES Research Papers 2014-28, Department of Economics and Business Economics, Aarhus University.

  10. Tom Engsted & Thomas Q. Pedersen, 2009. "The dividend-price ratio does predict dividend growth: International evidence," CREATES Research Papers 2009-36, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Dr. Thomas Nitschka, 2014. "The Good? The Bad? The Ugly? Which news drive (co)variation in Swiss and US bond and stock excess returns?," Working Papers 2014-01, Swiss National Bank.
    2. Taisei KAIZOJI & Matthias LEISS & Alexander I. SAICHEV & Didier SORNETTE, 2015. "Super-Exponential Endogenous Bubbles in an Equilibrium Model of Fundamentalist and Chartist Traders," Swiss Finance Institute Research Paper Series 15-07, Swiss Finance Institute.
    3. Pandey, Dharen Kumar & Lucey, Brian M. & Kumar, Satish, 2023. "Border disputes, conflicts, war, and financial markets research: A systematic review," Research in International Business and Finance, Elsevier, vol. 65(C).
    4. Catherine Georgiou, 2022. "Modifications on Book-Valued Ratios," International Journal of Business and Economic Sciences Applied Research (IJBESAR), International Hellenic University (IHU), Kavala Campus, Greece (formerly Eastern Macedonia and Thrace Institute of Technology - EMaTTech), vol. 15(3), pages 24-37, December.
    5. Dooruj McRambaccussing, 2015. "Moment Matching in the Present Value identity, and a New Model," Dundee Discussion Papers in Economics 291, Economic Studies, University of Dundee.
    6. Acker, Daniella & Duck, Nigel W., 2013. "Inflation illusion and the US dividend yield: Some further evidence," Journal of International Money and Finance, Elsevier, vol. 33(C), pages 235-254.
    7. Engsted, Tom & Pedersen, Thomas Q. & Tanggaard, Carsten, 2012. "Pitfalls in VAR based return decompositions: A clarification," Journal of Banking & Finance, Elsevier, vol. 36(5), pages 1255-1265.
    8. Zhu, Min & Chen, Rui & Du, Ke & Wang, You-Gan, 2018. "Dividend growth and equity premium predictability," International Review of Economics & Finance, Elsevier, vol. 56(C), pages 125-137.
    9. David Haab & Dr. Thomas Nitschka, 2017. "Predicting returns on asset markets of a small, open economy and the influence of global risks," Working Papers 2017-14, Swiss National Bank.
    10. McMillan, David G., 2014. "Stock return, dividend growth and consumption growth predictability across markets and time: Implications for stock price movement," International Review of Financial Analysis, Elsevier, vol. 35(C), pages 90-101.
    11. Guidolin, Massimo & McMillan, David G. & Wohar, Mark E., 2013. "Time varying stock return predictability: Evidence from US sectors," Finance Research Letters, Elsevier, vol. 10(1), pages 34-40.
    12. Engsted, Tom & Pedersen, Thomas Q., 2012. "Return predictability and intertemporal asset allocation: Evidence from a bias-adjusted VAR model," Journal of Empirical Finance, Elsevier, vol. 19(2), pages 241-253.
    13. Engsted, Tom & Pedersen, Thomas Q., 2014. "Housing market volatility in the OECD area: Evidence from VAR based return decompositions," Journal of Macroeconomics, Elsevier, vol. 42(C), pages 91-103.
    14. Tom Engsted & Thomas Q. Pedersen, 2018. "Disappearing money illusion," CREATES Research Papers 2018-24, Department of Economics and Business Economics, Aarhus University.
    15. Vassilis Polimenis & Ioannis Neokosmidis, 2019. "Non-stationary dividend-price ratios," Journal of Asset Management, Palgrave Macmillan, vol. 20(7), pages 552-567, December.
    16. Lan, Chunhua & Doan, Bao, 2022. "Stock price movements: Evidence from global equity markets," Journal of Empirical Finance, Elsevier, vol. 69(C), pages 123-143.
    17. Amélie Charles & Olivier Darné & Jae H Kim, 2017. "International Stock Return Predictability: Evidence from New Statistical Tests," Post-Print hal-01626101, HAL.
    18. Polimenis, Vassilis & Neokosmidis, Ioannis M., 2016. "The modified dividend–price ratio," International Review of Financial Analysis, Elsevier, vol. 45(C), pages 31-38.
    19. Fausch, Jürg & Sigonius, Markus, 2018. "The impact of ECB monetary policy surprises on the German stock market," Journal of Macroeconomics, Elsevier, vol. 55(C), pages 46-63.
    20. Rangvid, Jesper & Schmeling, Maik & Schrimpf, Andreas, 2014. "Dividend Predictability Around the World," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 49(5-6), pages 1255-1277, December.
    21. Thomas Nitschka, 2014. "What News Drive Variation in Swiss and US Bond and Stock Excess Returns?," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 150(II), pages 89-118, June.
    22. Lawrenz, Jochen & Zorn, Josef, 2018. "Decomposing the predictive power of local and global financial valuation ratios," The Quarterly Review of Economics and Finance, Elsevier, vol. 70(C), pages 137-149.
    23. Engsted, Tom & Pedersen, Thomas Q., 2015. "Predicting returns and rent growth in the housing market using the rent-price ratio: Evidence from the OECD countries," Journal of International Money and Finance, Elsevier, vol. 53(C), pages 257-275.
    24. Maio, Paulo & Xu, Danielle, 2020. "Cash-flow or return predictability at long horizons? The case of earnings yield," Journal of Empirical Finance, Elsevier, vol. 59(C), pages 172-192.
    25. David G. McMillan, 2017. "Stock return predictability: the role of inflation and threshold dynamics," International Review of Applied Economics, Taylor & Francis Journals, vol. 31(3), pages 357-375, May.
    26. Maio, Paulo & Philip, Dennis, 2015. "Macro variables and the components of stock returns," Journal of Empirical Finance, Elsevier, vol. 33(C), pages 287-308.
    27. Tom Engsted & Thomas Q. Pedersen, 2016. "The predictive power of dividend yields for future infl?ation: Money illusion or rational causes?," CREATES Research Papers 2016-11, Department of Economics and Business Economics, Aarhus University.
    28. Gonçalo Faria & Fabio Verona, 2016. "Forecasting the equity risk premium with frequency-decomposed predictors," Working Papers de Economia (Economics Working Papers) 06, Católica Porto Business School, Universidade Católica Portuguesa.
    29. Lawrenz, Jochen & Zorn, Josef, 2017. "Predicting international stock returns with conditional price-to-fundamental ratios," Journal of Empirical Finance, Elsevier, vol. 43(C), pages 159-184.
    30. David R. Haab & Thomas Nitschka, 2019. "What Goliaths and Davids among Swiss firms tell us about expected returns on Swiss asset markets," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 155(1), pages 1-17, December.
    31. Cheolbeom Park & Dong-hun Shin, 2014. "Stock Market Predictability: Global Evidence and an Explanation," Discussion Paper Series 1405, Institute of Economic Research, Korea University.
    32. Møller, Stig V. & Sander, Magnus, 2017. "Dividends, earnings, and predictability," Journal of Banking & Finance, Elsevier, vol. 78(C), pages 153-163.
    33. Joe, Denis Yongmin & Oh, Frederick Dongchuhl & Park, Cheolbeom, 2018. "Control-ownership disparity and stock market Predictability: Evidence from Korean chaebols," Finance Research Letters, Elsevier, vol. 27(C), pages 6-11.

  11. Tom Engsted & Thomas Q. Pedersen, 2008. "Return predictability and intertemporal asset allocation: Evidence from a bias-adjusted VAR model," CREATES Research Papers 2008-27, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Amélie Charles & Olivier Darné & Jae H. Kim, 2022. "Stock return predictability: Evaluation based on interval forecasts," Bulletin of Economic Research, Wiley Blackwell, vol. 74(2), pages 363-385, April.
    2. Massimo Guidolin & Alexei Orlov, 2018. "Can Investors Benefit from Hedge Fund Strategies? Utility-Based, Out-of-Sample Evidence," BAFFI CAREFIN Working Papers 1890, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    3. Tom Engsted & Thomas Q. Pedersen, 2014. "Bias-Correction in Vector Autoregressive Models: A Simulation Study," Econometrics, MDPI, vol. 2(1), pages 1-27, March.
    4. Thomas Q. Pedersen, 2015. "Predictable Return Distributions," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 34(2), pages 114-132, March.
    5. Charles, Amelie & Darne, Olivier & Kim, Jae, 2016. "Stock Return Predictability: Evaluation based on Prediction Intervals," MPRA Paper 70143, University Library of Munich, Germany.
    6. Andreasen, Martin M & Meldrum, Andrew, 2015. "Dynamic term structure models: the best way to enforce the zero lower bound in the United States," Bank of England working papers 550, Bank of England.
    7. Thomas Q. Pedersen, 2008. "Intertemporal Asset Allocation with Habit Formation in Preferences: An Approximate Analytical Solution," CREATES Research Papers 2008-60, Department of Economics and Business Economics, Aarhus University.
    8. Bart Diris & Franz Palm & Peter Schotman, 2015. "Long-Term Strategic Asset Allocation: An Out-of-Sample Evaluation," Management Science, INFORMS, vol. 61(9), pages 2185-2202, September.
    9. Martin M. Andreasen & Andrew Meldrum, 2014. "Dynamic term structure models: The best way to enforce the zero lower bound," CREATES Research Papers 2014-47, Department of Economics and Business Economics, Aarhus University.
    10. Michael D. Bauer & Glenn D. Rudebusch & Jing Cynthia Wu, 2011. "Unbiased estimate of dynamic term structure models," Working Paper Series 2011-12, Federal Reserve Bank of San Francisco.

Articles

  1. Engsted, Tom & Hviid, Simon J. & Pedersen, Thomas Q., 2016. "Explosive bubbles in house prices? Evidence from the OECD countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 40(C), pages 14-25.
    See citations under working paper version above.
  2. Engsted, Tom & Pedersen, Thomas Q., 2015. "Predicting returns and rent growth in the housing market using the rent-price ratio: Evidence from the OECD countries," Journal of International Money and Finance, Elsevier, vol. 53(C), pages 257-275.
    See citations under working paper version above.
  3. Thomas Q. Pedersen, 2015. "Predictable Return Distributions," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 34(2), pages 114-132, March.
    See citations under working paper version above.
  4. Tom Engsted & Thomas Q. Pedersen, 2014. "Bias-Correction in Vector Autoregressive Models: A Simulation Study," Econometrics, MDPI, vol. 2(1), pages 1-27, March.
    See citations under working paper version above.
  5. Engsted, Tom & Pedersen, Thomas Q., 2014. "Housing market volatility in the OECD area: Evidence from VAR based return decompositions," Journal of Macroeconomics, Elsevier, vol. 42(C), pages 91-103.
    See citations under working paper version above.
  6. Engsted, Tom & Pedersen, Thomas Q., 2012. "Return predictability and intertemporal asset allocation: Evidence from a bias-adjusted VAR model," Journal of Empirical Finance, Elsevier, vol. 19(2), pages 241-253.
    See citations under working paper version above.
  7. Engsted, Tom & Pedersen, Thomas Q. & Tanggaard, Carsten, 2012. "The Log-Linear Return Approximation, Bubbles, and Predictability," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 47(3), pages 643-665, June.
    See citations under working paper version above.
  8. Engsted, Tom & Pedersen, Thomas Q. & Tanggaard, Carsten, 2012. "Pitfalls in VAR based return decompositions: A clarification," Journal of Banking & Finance, Elsevier, vol. 36(5), pages 1255-1265.
    See citations under working paper version above.
  9. Engsted, Tom & Pedersen, Thomas Q., 2010. "The dividend-price ratio does predict dividend growth: International evidence," Journal of Empirical Finance, Elsevier, vol. 17(4), pages 585-605, September.
    See citations under working paper version above.Sorry, no citations of articles recorded.
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