Log-optimal economic evaluation of probability forecasts
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DOI: j.1467-985X.2011.01011.x
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Cited by:
- D.J. Johnstone, 2015. "Information and the Cost of Capital in a Mean-Variance Efficient Market," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 42(1-2), pages 79-100, January.
- D. J. Johnstone, 2021. "Accounting information, disclosure, and expected utility: Do investors really abhor uncertainty?," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 48(1-2), pages 3-35, January.
- Baştürk, N. & Borowska, A. & Grassi, S. & Hoogerheide, L. & van Dijk, H.K., 2019.
"Forecast density combinations of dynamic models and data driven portfolio strategies,"
Journal of Econometrics, Elsevier, vol. 210(1), pages 170-186.
- Nalan Basturk & Agnieszka Borowska & Stefano Grassi & Lennart (L.F.) Hoogerheide & Herman (H.K.) van Dijk, 2018. "Forecast Density Combinations of Dynamic Models and Data Driven Portfolio Strategies," Tinbergen Institute Discussion Papers 18-076/III, Tinbergen Institute.
- Nalan Basturk & Agnieszka Borowska & Stefano Grassi & Lennart Hoogerheide & Herman K. van Dijk, 2018. "Forecast Density Combinations of Dynamic Models and Data Driven Portfolio Strategies," Working Paper 2018/10, Norges Bank.
- David J Johnstone, 2023. "Capital budgeting and Kelly betting," Australian Journal of Management, Australian School of Business, vol. 48(3), pages 625-651, August.
- David Johnstone & Dennis Lindley, 2013. "Mean-Variance and Expected Utility: The Borch Paradox," Papers 1306.2728, arXiv.org.
- David Johnstone & Stewart Jones & Oliver Jones & Steve Tulig, 2021. "Scoring Probability Forecasts by a User’s Bets Against a Market Consensus," Decision Analysis, INFORMS, vol. 18(3), pages 169-184, September.
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