Detecting money market bubbles
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DOI: 10.1016/j.jbankfin.2017.10.017
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- Jan Baldeaux & Katja Ignatieva & Eckhard Platen, 2016. "Detecting Money Market Bubbles," Research Paper Series 378, Quantitative Finance Research Centre, University of Technology, Sydney.
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Citations
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Cited by:
- 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.
- Chaim, Pedro & Laurini, Márcio P., 2019. "Is Bitcoin a bubble?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 517(C), pages 222-232.
- Pedro L. P. Chaim & Márcio P. Laurini, 2019. "Foreign Exchange Expectation Errors and Filtration Enlargements," Stats, MDPI, vol. 2(2), pages 1-16, April.
- Kevin Fergusson & Eckhard Platen, 2017. "Less-Expensive Valuation of Long Term Annuities Linked to Mortality, Cash and Equity," Papers 1711.02808, arXiv.org.
- Eckhard Platen & Renata Rendek, 2019. "Dynamics of a Well-Diversified Equity Index," Research Paper Series 398, Quantitative Finance Research Centre, University of Technology, Sydney.
- Márcio P. Laurini & Pedro Chaim, 2021. "Brazilian stock market bubble in the 2010s," SN Business & Economics, Springer, vol. 1(1), pages 1-19, January.
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More about this item
Keywords
Money market bubbles; Strict local martingales; Markov chain Monte Carlo; Stochastic volatility models; Benchmark approach;All these keywords.
JEL classification:
- C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
- C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
- G1 - Financial Economics - - General Financial Markets
- G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
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