This study investigates the relationship between expected returns on cryptocurrencies and macroeconomic fundamentals. We employ a dynamic factor model and summarize information as common factors. We find that the common factors are strongly linked to the cryptocurrency expected returns at a...

Experts’ opinions are widely considered for investment decisions. We collect textual information from cryptocurrency experts, study the dynamics in their discussion topics and their sentiment in relation to market movements. Based on the analysis we test various hypothesis which span if the...

This study proposes a method to enhance cryptocurrency portfolio returns constructed by forecast models. We forecast returns on four liquid cryptocurrencies and determine the weights on the cryptocurrencies based upon a dynamic allocation framework. We assess the performances of the portfolios...

The study employs the wavelet coherence and the spillover index methodologies to investigate time-varying relationship between green sukuk and selected assets from the crypto-currency and commodity markets between October 2019, and March 2022. The results of wavelet coherence indicated weak...

Due to structural, regulatory and security-related advantages, crypto assets attract an unparalleled attention all over the world and lead to a heated discussion, whether crypto assets can be considered as a viable option for alternative investments. However, aside from regulatory uncertainty, a...

Bitcoin is traded in a number of exchanges, and there is a large and time-varying price dispersion among them. We identify the sources of price dispersion using a standard time-varying vector auto-regression model with stochastic volatility. Using weekly data over the past 3 years, we find that...

Using a wavelet coherence approach, this study investigates the relationship between Bitcoin return and Bitcoin-specifc sentiment from January 1, 2016 to June 30, 2021, covering the COVID-19 pandemic period. The results reveal that before the pandemic, sentiment positively drove prices,...

Cryptocurrencies provide the ideal and natural experimental setting to test the local martingale theory of bubbles, because they have no cash flows. Using this theory, we test for the existence of price bubbles in eight cryptocurrencies from January 1, 2019 to July 17, 2019. The cryptocurrencies...

We systematically re-examine the efficacy of trend-based technical indicators in predicting cryptocurrency market returns at daily, weekly, and monthly horizons. It shows that the price-based signals are more effective than the volume-based signals in the short horizon (daily and weekly), while...

This paper looks at the dynamic price relationship between spreads in the corporate bond market and credit default swaps (CDS). It picks up where Blanco et al (2005) leave off but is focused on European credit markets. The study is based on companies listed in the iTraxx CDS index and thus on...