Asset Pricing and Investment Styles in Digital Assets

This book analyzes the emerging asset class of digital assets. When a new asset class originates, researchers try to understand some basic questions: Can digital assets, with the flagship asset bitcoin, really be considered a serious asset class? Since it is possible to trade digital assets, does it make sense to trade or to invest in these assets? How do digital assets compare to traditional asset classes like equities or bonds?After describing basic financial theory and breaking down the digital asset universe, this book provides fundamental knowledge with respect to this young and rising asset class. It focuses on special issues like the application of technical indicators, investment styles, asset pricing and portfolio construction. Furthermore, it offers remarks and links to other traditional asset classes and describes and warns of data issues in digital asset data.

Auteur

Tobias Glas is the founder and managing director of the digital asset research and analysis platform crypto-matter.com. Before that he worked at different banks and asset managers in Munich and Frankfurt. In his last position he managed a several hundred million EUR market-neutral credit hedge fund strategy. Tobias holds a PhD from University of Bremen (Germany), where he focused on asset pricing and investment topics in digital assets early on. Before that, he studied Finance at Frankfurt School of Finance and Management (Germany). He also is a CAIA charter holder.

Contenu

Chapter 1. The Emergence of a New Asset Class: Digital Assets.- Chapter 2. An Asset Pricer's Toolkit.- Chapter 3. Investment Styles in General.- Chapter 4. Related Literature.- Chapter 5. Digital Assets.- Chapter 6. Digital Assets in a Multi-asset Context.- Chapter 7. On the Effectiveness of Technical Indicators in Digital Assets.- Chapter 8. Investment Styles in Digital Assets.- Chapter 9. Risk Factors in Digital Assets.- Chapter 10. How to Incorporate Characteristics into the Portfolio Construction Process.- Chapter 11. Are the Results Robust and Still Valid?.- Chapter 12. Conclusion.