This paper documents a persistent structure in cryptocurrency returns and analyzes a broad set of characteristics that explain this structure. The results show that similarities in size, trading volume, age, consensus mechanism, and token industries drive the structure of cryptocurrency returns....

We establish that the risk-return tradeoff of cryptocurrencies (Bitcoin, Ripple, and Ethereum) is distinct from those of stocks, currencies, and precious metals. Cryptocurrencies have no exposure to most common stock market and macroeconomic factors or to the returns of currencies and...

Wir untersuchen den Querschnitt von über 1200 Kryptowährungen, gesammelt von 350 Handelsplätzen, in der Zeitspanne von Januar 2014 bis Juni 2020. Im speziellen untersuchen wir, ob weit verbreitete Charakteristika, wie Beta (Fama/MacBeth (1973)), Size (Banz (1981)) oder Momentum...

Cryptocurrency markets have many of the characteristics of 20th century commodities markets, making them an attractive candidate for trend following strategies. We present a decade of evidence from the infancy of bitcoin, showcasing the potential investor returns in cryptocurrency trend...

This paper aims to find the effectiveness of Cryptocurrency on well-formed portfolio with assets like Commodities, Exchange Traded Fund (ETFs), Stock assets and currency value of INR. There are several ways to determine the effectiveness in diversification. In this paper we use SOLVER, Modern...

A widespread concern in the investment industry is whether commonly used investment management fee arrangements encourage investment managers to act in their clients' interests. The value to managers of a one-period call performance fee is maximized by maximizing performance volatility. This is...

We investigate whether cryptocurrencies can be legitimate investments with potential use as a hedging tool. We show that Bitcoin and Litecoin can be useful as a hedge due to negative or zero correlations with other asset classes while Ripple shows traits of a diversifying investment. Due to...

Cryptocurrencies have received growing attention from individuals, the media, and regulators. However, little is known about the investors whom these financial instruments attract. Using administrative data, we describe the investment behavior of individuals who invest in cryptocurrencies with...

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...