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In Search Of Cryptocurrency Failure, Donglian Ma, Jun Tu, Zhaobo Zhu
In Search Of Cryptocurrency Failure, Donglian Ma, Jun Tu, Zhaobo Zhu
Research Collection Lee Kong Chian School Of Business
This paper explores the determinants of cryptocurrency failure and the pricing of crypto failure risk. We document different significant market- and characteristic-based predictors for coin and token failures. The introduction of Bitcoin futures and the outbreak of COVID19 affect the importance of many predictors. Investors require extra return for bearing high failure risk of crypto assets. The return difference across high and low failure risk crypto assets is not explained by the market, size and momentum factors in the cryptocurrency market. Finally, investors benefit from diversifying into high failure risk crypto assets that is little correlated with the stock market.
The Financialization Of Cryptocurrencies, Lei Huang, Tse-Chun Lin, Fangzhou Lu, Jian Sun
The Financialization Of Cryptocurrencies, Lei Huang, Tse-Chun Lin, Fangzhou Lu, Jian Sun
Research Collection Lee Kong Chian School Of Business
We show that change in Grayscale Bitcoin Trust premium is the single most significant predictor of Bitcoin daily return. This sentiment measure is similar to the closed-end fund discount measure as in Baker and Wurgler (2006), but more likely to reflect the excess demand from traditional investors than from blockchain specialists. Although there is a substantial variation in Bitcoin price quotes worldwide, this Grayscale premium and discount predict Bitcoin daily return for the most liquid Bitcoin exchanges. Using K-means clustering and LDA analysis, we find that this predictability is especially significant when there is a large variation in bullish and …
The Cryptocurrency Participation Puzzle, Ran Duchin, David H. Solomon, Jun Tu, Xi Wang
The Cryptocurrency Participation Puzzle, Ran Duchin, David H. Solomon, Jun Tu, Xi Wang
Research Collection Lee Kong Chian School Of Business
We show that ongoing zero portfolio weights in cryptocurrency are surprisingly difficult to generate in a standard Bayesian portfolio theory framework. With ten years of prior data, equity market investors would need very pessimistic priors on mean returns to justify never having bought cryptocurrency: -10.6% per month for Bitcoin, and -19.6% per month for a diversified portfolio of cryptocurrencies. Moreover, most priors that involve never purchasing cryptocurrency imply that investors should short cryptocurrency. Optimal absolute weights are generally small but non-trivial (1-5%), frequently positive, and fairly smooth despite returns being volatile. Under a wide range of priors, the certainty equivalent …
Establishing An Asia-Pacific Cryptocurrency Hub, Arnat Leemakdej, Chiyachantana N. Chiraphol
Establishing An Asia-Pacific Cryptocurrency Hub, Arnat Leemakdej, Chiyachantana N. Chiraphol
Research Collection Lee Kong Chian School Of Business
Asia is leading the way in digital asset markets, but individual countries are taking markedly different paths toward regulation and management in establishing themselves as cryptocurrency hubs, balancing innovation and regulation. Investors should be vigilant about the risks associated with alternative capital-raising methods.