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A Peek into the Unobservable: Hidden States and Bayesian Inference for the Bitcoin and Ether Price Series

Author

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  • Constandina Koki
  • Stefanos Leonardos
  • Georgios Piliouras

Abstract

Conventional financial models fail to explain the economic and monetary properties of cryptocurrencies due to the latter's dual nature: their usage as financial assets on the one side and their tight connection to the underlying blockchain structure on the other. In an effort to examine both components via a unified approach, we apply a recently developed Non-Homogeneous Hidden Markov (NHHM) model with an extended set of financial and blockchain specific covariates on the Bitcoin (BTC) and Ether (ETH) price data. Based on the observable series, the NHHM model offers a novel perspective on the underlying microstructure of the cryptocurrency market and provides insight on unobservable parameters such as the behavior of investors, traders and miners. The algorithm identifies two alternating periods (hidden states) of inherently different activity -- fundamental versus uninformed or noise traders -- in the Bitcoin ecosystem and unveils differences in both the short/long run dynamics and in the financial characteristics of the two states, such as significant explanatory variables, extreme events and varying series autocorrelation. In a somewhat unexpected result, the Bitcoin and Ether markets are found to be influenced by markedly distinct indicators despite their perceived correlation. The current approach backs earlier findings that cryptocurrencies are unlike any conventional financial asset and makes a first step towards understanding cryptocurrency markets via a more comprehensive lens.

Suggested Citation

  • Constandina Koki & Stefanos Leonardos & Georgios Piliouras, 2019. "A Peek into the Unobservable: Hidden States and Bayesian Inference for the Bitcoin and Ether Price Series," Papers 1909.10957, arXiv.org.
  • Handle: RePEc:arx:papers:1909.10957
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    as
    1. repec:eee:ecolet:v:166:y:2018:i:c:p:40-44 is not listed on IDEAS
    2. Jonathan H. Wright, 2009. "Forecasting US inflation by Bayesian model averaging," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(2), pages 131-144.
    3. repec:eee:ecolet:v:174:y:2019:i:c:p:62-64 is not listed on IDEAS
    4. repec:eee:finana:v:62:y:2019:i:c:p:21-34 is not listed on IDEAS
    5. repec:eee:ecolet:v:171:y:2018:i:c:p:225-229 is not listed on IDEAS
    6. repec:eee:reecon:v:73:y:2019:i:1:p:15-22 is not listed on IDEAS
    7. repec:eee:ecolet:v:158:y:2017:i:c:p:3-6 is not listed on IDEAS
    8. repec:spr:eurase:v:9:y:2019:i:1:d:10.1007_s40822-018-0108-2 is not listed on IDEAS
    9. Jan J. J. Groen & Richard Paap & Francesco Ravazzolo, 2013. "Real-Time Inflation Forecasting in a Changing World," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(1), pages 29-44, January.
    10. repec:eee:finlet:v:29:y:2019:i:c:p:340-346 is not listed on IDEAS
    11. repec:eee:ecmode:v:64:y:2017:i:c:p:74-81 is not listed on IDEAS
    12. repec:eee:finlet:v:29:y:2019:i:c:p:222-230 is not listed on IDEAS
    13. Amélie Charles & Olivier Darné, 2009. "Variance-Ratio Tests Of Random Walk: An Overview," Journal of Economic Surveys, Wiley Blackwell, vol. 23(3), pages 503-527, July.
    14. repec:eee:ecolet:v:164:y:2018:i:c:p:109-111 is not listed on IDEAS
    15. repec:eee:finana:v:59:y:2018:i:c:p:105-116 is not listed on IDEAS
    16. Engel, Charles, 1994. "Can the Markov switching model forecast exchange rates?," Journal of International Economics, Elsevier, vol. 36(1-2), pages 151-165, February.
    17. Pavel Ciaian & Miroslava Rajcaniova & d’Artis Kancs, 2016. "The economics of BitCoin price formation," Applied Economics, Taylor & Francis Journals, vol. 48(19), pages 1799-1815, April.
    18. repec:eee:finlet:v:25:y:2018:i:c:p:280-284 is not listed on IDEAS
    19. repec:eee:moneco:v:95:y:2018:i:c:p:86-96 is not listed on IDEAS
    20. repec:eee:ecolet:v:165:y:2018:i:c:p:58-61 is not listed on IDEAS
    21. Frommel, Michael & MacDonald, Ronald & Menkhoff, Lukas, 2005. "Markov switching regimes in a monetary exchange rate model," Economic Modelling, Elsevier, vol. 22(3), pages 485-502, May.
    22. Bouri, Elie & Gupta, Rangan & Tiwari, Aviral Kumar & Roubaud, David, 2017. "Does Bitcoin hedge global uncertainty? Evidence from wavelet-based quantile-in-quantile regressions," Finance Research Letters, Elsevier, vol. 23(C), pages 87-95.
    23. repec:eee:ecolet:v:172:y:2018:i:c:p:97-101 is not listed on IDEAS
    24. repec:eee:finlet:v:26:y:2018:i:c:p:145-149 is not listed on IDEAS
    25. repec:eee:finlet:v:29:y:2019:i:c:p:216-221 is not listed on IDEAS
    26. Bouri, Elie & Molnár, Peter & Azzi, Georges & Roubaud, David & Hagfors, Lars Ivar, 2017. "On the hedge and safe haven properties of Bitcoin: Is it really more than a diversifier?," Finance Research Letters, Elsevier, vol. 20(C), pages 192-198.
    27. repec:eee:intfin:v:54:y:2018:i:c:p:177-189 is not listed on IDEAS
    28. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
    29. Jennifer Conrad & Robert F. Dittmar & Eric Ghysels, 2013. "Ex Ante Skewness and Expected Stock Returns," Journal of Finance, American Finance Association, vol. 68(1), pages 85-124, February.
    30. repec:eee:finlet:v:29:y:2019:i:c:p:266-271 is not listed on IDEAS
    31. repec:eee:finlet:v:26:y:2018:i:c:p:81-88 is not listed on IDEAS
    32. repec:eee:ecolet:v:173:y:2018:i:c:p:148-151 is not listed on IDEAS
    33. Klein, Tony & Pham Thu, Hien & Walther, Thomas, 2018. "Bitcoin is not the New Gold – A comparison of volatility, correlation, and portfolio performance," International Review of Financial Analysis, Elsevier, vol. 59(C), pages 105-116.
    34. Nicholas G. Polson & James G. Scott & Jesse Windle, 2013. "Bayesian Inference for Logistic Models Using Pólya--Gamma Latent Variables," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 108(504), pages 1339-1349, December.
    35. Balcilar, Mehmet & Bouri, Elie & Gupta, Rangan & Roubaud, David, 2017. "Can volume predict Bitcoin returns and volatility? A quantiles-based approach," Economic Modelling, Elsevier, vol. 64(C), pages 74-81.
    36. Beckmann, Joscha & Schüssler, Rainer, 2016. "Forecasting exchange rates under parameter and model uncertainty," Journal of International Money and Finance, Elsevier, vol. 60(C), pages 267-288.
    37. Robert F. Dittmar, 2002. "Nonlinear Pricing Kernels, Kurtosis Preference, and Evidence from the Cross Section of Equity Returns," Journal of Finance, American Finance Association, vol. 57(1), pages 369-403, February.
    38. Cheah, Eng-Tuck & Fry, John, 2015. "Speculative bubbles in Bitcoin markets? An empirical investigation into the fundamental value of Bitcoin," Economics Letters, Elsevier, vol. 130(C), pages 32-36.
    39. Jondeau, Eric & Rockinger, Michael, 2003. "Conditional volatility, skewness, and kurtosis: existence, persistence, and comovements," Journal of Economic Dynamics and Control, Elsevier, vol. 27(10), pages 1699-1737, August.
    40. repec:eee:finana:v:62:y:2019:i:c:p:182-199 is not listed on IDEAS
    41. repec:eee:ecolet:v:165:y:2018:i:c:p:28-34 is not listed on IDEAS
    42. repec:eee:empfin:v:50:y:2019:i:c:p:1-19 is not listed on IDEAS
    43. repec:eee:quaeco:v:71:y:2019:i:c:p:107-113 is not listed on IDEAS
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