By applying machine learning to accurately and cost effectively classify photos based on sentiment, we introduce a daily market-level investor sentiment index (Photo Pessimism) from a large sample of news photos. Between 1926 and 2018, Photo Pessimism predicts market return reversal and increase...

By applying machine learning to the accurate and cost-effective classification of photos based on sentiment, we introduce a daily market-level investor sentiment index (Photo Pessimism) obtained from a large sample of news photos. Consistent with behavioral models, Photo Pessimism predicts...

We design a novel empirical framework to examine market efficiency through out-of-sample(OOS) predictability. We frame the classic empirical asset pricing problem as a machine learningclassification problem. We construct classification models to predict return states. The prediction- based...

INTRODUCTION -- Chapter 1 Fintech and Banking: An Overview. SECTION I: FINANCIAL TECHNOLOGIES AND THEIR EFFECTS ON THE BANKING INDUSTRY -- Chapter 2 Centralized and Decentralized Finance: Coexistence or Convergence? -- Chapter 3 Fintech and the Digital Transformation of the Banking Landscape --...

This study examines the profitability of short-selling strategies of different portfolios with varying combinations of bull and bear Leveraged Exchange-Traded Funds (LETFs). We find that while short-selling the combination of both bull and bear LETFs does not yield significant positive returns...

Part I: Introduction -- Chapter 1. Fintech and Sustainability: An Overview (Thomas Walker, Harry Turtle, Maher Kooli, and Elaheh Nikbakht) -- Part II: Fintech And Environmental Sustainability -- Chapter 2. Scaling Up Climate Finance Through Blockchain-Based Digital Green Bonds (Yushi Chen) --...

Chapter 1: Big Data in Finance: An Overview -- SECTION I: BIG DATA IN THE FINANCIAL MARKETS -- Chapter 2: Alternative Data -- Chapter 3: An Algorithmic Trading Strategy to Balance Profitability and Risk -- Chapter 4: High-Frequency Trading and Market Efficiency in the Moroccan Stock Market --...