Book contents
- Frontmatter
- Contents
- Editorial Board Members
- Acknowledgements
- Part I Institutionalisation of Digital Assets
- 1 Institutionalisation of Digital Assets
- 2 How and When Are Cryptocurrency Predictable? Backtesting Their Portfolio Economic Value
- 3 DeFi versus TradFi Valuation Using Multiples and Discounted Cash Flows
- Part II Digital Assets and Decentralised Finance
- Part III Regulations and Compliance of Digital Assets
- Part IV Cryptocurrency Economics and Monetary Policies
- Abbreviations
- Index
- References
2 - How and When Are Cryptocurrency Predictable? Backtesting Their Portfolio Economic Value
from Part I - Institutionalisation of Digital Assets
Published online by Cambridge University Press: 06 March 2025
Book contents
- Frontmatter
- Contents
- Editorial Board Members
- Acknowledgements
- Part I Institutionalisation of Digital Assets
- 1 Institutionalisation of Digital Assets
- 2 How and When Are Cryptocurrency Predictable? Backtesting Their Portfolio Economic Value
- 3 DeFi versus TradFi Valuation Using Multiples and Discounted Cash Flows
- Part II Digital Assets and Decentralised Finance
- Part III Regulations and Compliance of Digital Assets
- Part IV Cryptocurrency Economics and Monetary Policies
- Abbreviations
- Index
- References
Summary
In the light of the growing interest in crypto-assets and the quest for their institutionalisation, we examine the role that they can play as investable assets useful in standard portfolio problems when asset returns are predictable. In particular, we study whether a mix of macroeconomic factors and crypto-specific predictors can be combined to produce accurate and economically valuable pooled forecasts. With reference to Bitcoin data, we uncover that crypto returns are predictable out-of-sample. Moreover, when this crypto-asset is made available to a mean-variance optimising investor, it generates large risk-adjusted realised performance gains irrespective of the assumed risk aversion. The results on the predictability of cryptocurrencies are robust to a generalisation to Litecoin and Ripple, although on a shorter 2015–2020 sample. However, results turn mixed and come to depend on the assumed risk aversion, when we investigate the power of forecast combinations to generate economic value from the entire pool of cryptocurrencies.
- Type
- Chapter
- Information
- Digital AssetsPricing, Allocation and Regulation, pp. 17 - 43Publisher: Cambridge University PressPrint publication year: 2025
References
Baur, D. G., Hong, K., and Lee, A. D. (2018). Bitcoin: Medium of exchange or speculative assets? Journal of International Financial Markets, Institutions and Money, 54:177–189.CrossRefGoogle Scholar
Bekemeier, F. (2021). The institutionalization of crypto assets and decentralized financial markets. Available at SSRN 3899162.Google Scholar
Bianchi, D., Guidolin, M., and Pedio, M. (2020). Dissecting time-varying risk exposures in cryptocurrency markets. BAFFI CAREFIN Centre Research Paper, (2020–143).Google Scholar
Bianchi, D., Guidolin, M., and Pedio, M. (2022). The dynamics of returns predictability in cryptocurrency markets. The European Journal of Finance, 29(3):1–29.Google Scholar
Blau, B. M., Griffith, T. G., and Whitby, R. J. (2021). Inflation and Bitcoin: A descriptive time-series analysis. Economics Letters, 203:109848.CrossRefGoogle Scholar
Bouri, E., Molnar, P., Azzi, G., Roubaud, D., and Hagfors, L. (2017). On the hedge and safe haven properties of Bitcoin: Is it really more than a diversifier? Finance Research Letters, 20:192–198.CrossRefGoogle Scholar
Briere, M., Oosterlinck, K., and Szafarz, A. (2015). Virtual currency, tangible return: Portfolio diversification with bitcoin. Journal of Asset Management, 16:365–373.CrossRefGoogle Scholar
Caferra, R. and Vidal-Tomás, D. (2021). Who raised from the abyss? A comparison between cryptocurrency and stock market dynamics during the covid-19 pandemic. Finance Research Letters, forthcoming: 101954.CrossRefGoogle ScholarPubMed
Campbell, J. Y. and Thompson, S. B. (2008). Predicting excess stock returns out of sample: Can anything beat the historical average? Review of Financial Studies, 21(4):1509–1531.CrossRefGoogle Scholar
Chuen, D. L. K., Guo, L., and Wang, Y. (2018). Cryptocurrency: A new investment opportunity? Journal of Alternative Investments, 20:16–40.CrossRefGoogle Scholar
Ciaian, P. and Rajcaniova, M. (2019). Virtual relationships: Short and long-run evidence from Bitcoin and altcoin markets. Journal of International Financial Markets, Institutions and Money, 52:173–195.CrossRefGoogle Scholar
Corbet, S., Larkin, C., Lucey, B., Meegan, A., and Yarovaya, L. (2018). Exploring the dynamic relationships between cryptocurrencies and other financial assets. Economics Letters, 165:28–34.CrossRefGoogle Scholar
Danielius, P., Savenas, T., and Masteika, S. (2019). Study of factors related to grin cryptocurrency mining efficiency with GPUs. In International Conference on Business Information Systems, 267–273. Springer.CrossRefGoogle Scholar
Dastgir, S., Demir, E., Downing, G., Gozgor, G., and Lau, C. (2019). The causal relationship between Bitcoin attention and Bitcoin returns: Evidence from the Copula-based Granger causality test. Finance Research Letters, 28:160–164.CrossRefGoogle Scholar
De Vries, A., Gallersdörfer, U., Klaaßen, L., and Stoll, C. (2022). Revisiting Bitcoin’s carbon footprint. Joule, 6(3):498–502.CrossRefGoogle Scholar
Dyhrberg, A. H. (2016). Hedging capabilities of Bitcoin. Is it the virtual gold? Finance Research Letters, 16:139–144.CrossRefGoogle Scholar
Gerritsen, D., Bouri, E., Ramezanifar, E., and Roubaud, D. (2020). The profitability of technical trading rules in the Bitcoin market. Finance Research Letters, 34:101263.CrossRefGoogle Scholar
Grobys, K., Ahmed, S., and Sapkota, N. (2020). Technical trading rules in the cryptocurrency market. Finance Research Letters, 32:101396.CrossRefGoogle Scholar
Guesmi, K., Saadi, S., Abid, I., and Ftiti, Z. (2019). Portfolio diversification with virtual currency: Evidence from Bitcoin. International Review of Financial Analysis, 63:431–437.CrossRefGoogle Scholar
Joo, M., Nishikawa, Y., and Dandapani, K. (2019). Cryptocurrency, a successful application of blockchain technology. Managerial Finance, 46:715–733.Google Scholar
Kandel, S. and Stambaugh, R. (1996). On the predictability of stock returns: An asset-allocation perspective. Journal of Finance, 51:385–424.Google Scholar
Li, X. and Wang, C. (2017). The technology and economic determinants of cryptocurrency exchange rates: The case of Bitcoin. Decision Support Systems, 95:49–60.CrossRefGoogle Scholar
Liu, L. (2019). Are Bitcoin returns predictable?: Evidence from technical indicators. Physica A: Statistical Mechanics and its Applications, 533:121950.Google Scholar
Liu, Y. and Tsyvinski, A. (2021). Risks and returns of cryptocurrency. Review of Financial Studies, 34(6):2689–2727.CrossRefGoogle Scholar
Liu, Y., Tsyvinski, A., and Wu, X. (2019). Common risk factors in cryptocurrency. Technical report, National Bureau of Economic Research.CrossRefGoogle Scholar
Ludvigson, S. C. and Ng, S. (2009). Macro factors in bond risk premia. Review of Financial Studies, 22(12):5027–5067.CrossRefGoogle Scholar
Panagiotidis, T., Stengos, T., and Vravosinos, O. (2019). The effects of markets, uncertainty and search intensity on Bitcoin returns. International Review of Financial Analysis, 63:220–242.CrossRefGoogle Scholar
Rapach, D. E., Strauss, J. K., and Zhou, G. (2010). Out-of-sample equity premium prediction: Combination forecasts and links to the real economy. Review of Financial Studies, 23(2):821–862.CrossRefGoogle Scholar
Rosner, M. and Kang, A. (2016). Understanding and regulating twenty-first century payment systems: The Ripple case study. Michigan Law Review, 114:649–681.CrossRefGoogle Scholar
Shahzad, S., Bouri, E., Roubaud, D., Kristoufek, L., and Lucey, B. (2019). Is Bitcoin a better safe-haven investment than gold and commodities? International Review of Financial Analysis, 63:322–330.CrossRefGoogle Scholar
Smales, L. (2019). Bitcoin as a safe haven: Is it even worth considering? Finance Research Letters, 30:385–393.CrossRefGoogle Scholar
Stock, J. H. and Watson, M. W. (2004). Combination forecasts of output growth in a seven-country data set. Journal of Forecasting, 23(6):405– 430.CrossRefGoogle Scholar
Symitsi, E. and Chalvatzis, K. (2019). The economic value of Bitcoin: A portfolio analysis of currencies, gold, oil and stocks. Research in International Business and Finance, 48:97–110.CrossRefGoogle Scholar
Welch, I. and Goyal, A. (2008). A comprehensive look at the empirical performance of equity premium prediction. The Review of Financial Studies, 21(4):1455–1508.CrossRefGoogle Scholar
Xiao, H. and Sun, Y. (2020). Forecasting the returns of cryptocurrency: A model averaging approach. Journal of Risk and Financial Management, 13:378.CrossRefGoogle Scholar
Yermack, D. (2015). Is Bitcoin a real currency? An economic appraisal. In Handbook of Digital Currency, 31–43, Elsevier.CrossRefGoogle Scholar