Bitcoin is digital energy. This is part metaphor, part description. It is part explanation, part prophecy. It is part engineering, part finance. The digital energy that is Bitcoin is not mechanical, chemical, or electrical. It is the same “stuff” that saves you time when you draw on a store...

We provide practical insights for investors seeking exposure to the growing cryptocurrency space. Today, crypto is much more than just bitcoin, which historically dominated the space but accounted for just a 21% share of total crypto trading volume in 2021. We discuss a wide variety of tokens,...

Economic assets can be classified into two broad categories: those earning an inherent return and those earning a fiat money return. This article shows that both are valued according to the same general principle based on GDP (a constant equal to expected long term real per capita GDP growth)...

Purpose - It is crucial to find a better portfolio optimization strategy, considering the cryptocurrencies' asymmetric volatilities. Hence, this research aimed to present dynamic optimization on minimum variance (MVP), equal risk contribution (ERC) and most diversified portfolio (MDP)....

Cryptocurrencies are a new emergence at the intersection of technology and finance. It is therefore of particular interest whether cryptocurrencies can form a new asset class or need to be subsumed under an existing one. We find that cryptocurrencies show characteristics of a distinct asset...

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...

We acquire a unique dataset of high-frequency traded prices for bitcoin call and put options from the Deribit cryptocurrency derivatives exchange, by 15-minute sampling via the application programming interface. We use these prices to construct a term structure of bitcoin implied volatility...

We propose a modelling framework for the optimal selection of crypto assets. We assume that crypto assets can be described according to two features: security (technological) and stability (governance). We simulate optimal selection decisions of investors, being driven by (i) their attitudes...

Swiss banks are at a pivotal moment as digital assets gain traction, presenting both challenges and opportunities. This study examines how Swiss banks can leverage their internal resources and capabilities to establish a competitive advantage in the digital asset ecosystem. Using the...

For optimal asset allocation, mean-variance investors must learn about the joint dynamics of new and existing asset classes, not only their profitability. Bitcoin's digital gold narrative provides a unique laboratory to test this hypothesis. We find that a decrease in investors' estimate on...