I introduce a method for gauging the qualitative similarity of firm-specific information based on linguistic commonality in newswire text. I show that this new qualitative similarity measure predicts future cross-firm return correlation even after accounting for the pair's contemporaneous price...

In this paper we estimate behavioural factors -- Keynes' 'animal spirits' -- in the property market. An enhanced Hidden Markov Model is used, for both the Shiller Home Price Index and a consumer confidence index. We conclude that both house prices and consumer confidence are driven by another...

Despite momentum's strong historical performance, its returns have large negative skewness and occasionally experiences persistent strings of sharp negative returns, referred as "momentum crashes" in the recent literature. I argue that momentum crashes are due to crowded trades which push prices...

This paper applies a Bayesian break method to studying the empirical time-varying relations between stock price ratios and subjective expectations across the market and 30 industry portfolios monthly from 1976 to 2020. Cash flow expectations unconditionally explain 80% of price variations since...

This research paper aims to investigate the profitability of five popular variations of moving averages: simple (also referred to as arithmetic), exponential, triangular, variable, and weighted as the main tool of technical analysis on the end of the day data on Indian market index S&P CNX Nifty...

This paper analyzes three aspects of over-the-counter (OTC) stocks: (1) the recent trends in the OTC stock market structure and size; (2) the documented properties of OTC stocks; and (3) the differences in returns based on investor and stock characteristics. Approximately 10,000 OTC stocks were...

We hypothesize that weather's emotional effects depend on climate and season, and examine the relation between weather (sunshine, wind, rain, snow, and temperature) and index returns separately for each region (cold, hot, and mild countries) and month. We find strong effects of all five weather...

We investigate the cross-sectional pattern of stock returns for eight emerging markets using Vector Autoregressive Approach (VAR) to test whether dividend yields can predict stock returns through impulse response characteristics. Our results confirm that dividend yield shocks play an important...

We propose a modelling treatment for the option-implied risk neutral distribution (RND) which disaggregates its long-term and short-term dynamics. Long memory parameters calibrated on the RND moments serve as tractable mathematical constructs to filter out effects of smooth structural change...

We propose factor models for the cross-section of daily cryptoasset returns and provide source code for data downloads, computing risk factors and backtesting them out-of-sample. In "cryptoassets" we include all cryptocurrencies and a host of various other digital assets (coins and tokens) for...