In this paper, we examine the performance of three DeMark indicators (Sequential, Combo and Setup trend), which constitute specific implementations of technical analysis often used by practitioners, over twenty-one commodity futures markets and ten years of daily data. Our work addresses price...

This paper is an empirical investigation of the relation between the dispersion on analysts' earnings forecasts and the future performance following a change in the nominal price of shares. On a sample of US splits occurred from 1993 to 2013, we observe a change in the distribution of analysts'...

The performance of analysts’ forecasts has attracted increasing attention in recent years. However, as yet, no empirical study has investigated the nexus between the analyst forecast dispersion (AFD) and excess returns surrounding stock market crashes in any depth. This paper attempts to fill...

Stock-based compensation (SBC) reduces the value of shareholder equity, ceteris paribus, and is a significant and growing expense for many firms. Despite its valuation implications and its growing importance, anecdotal evidence suggests that market participants ignore SBC in valuation. We first...

This paper investigates whether analysts' optimism affects the stock crash risk. Analysts' optimism can increase stock crash risk either by inducing overvaluation or by providing managers an opportunity to withhold bad news. Using analysts' forecast error as a proxy for analysts' optimism, we...

We document several factors that help explain cross-sectional variations in the post-revision price drift associated with analyst forecast revisions. First, the market does not make a sufficient distinction between revisions that provide new information ("high-innovation" revisions) and...

This study examined participants' willingness to pay for stock price forecasts provided by an algorithm, financial experts, and peers. Participants valued algorithmic advice more highly and relied on it as much as expert advice. This preference for algorithms - despite their similar or even...

There has been considerable research into dynamic global tactical asset allocation (GTAA) strategies driven by simple measures of Valuation and Momentum applied to a baseline balanced portfolio of equities and fixed income (see Blitz and van Vliet 2008, Wang and Kochard 2011, Gnedenko and Yelnik...

Analysts cover portfolios of firms. Firms in these analyst portfolios are thus in principle subject to common (integrated) production of information. Nonetheless, this paper documents significant stock return and forecast revision predictability across firms with common analyst coverage. Prices...

We apply state-of-the-art Bayesian machine learning to test whether we can extract valuable information from analysts' recommendations of stock performance. We use a probabilistic model for independent Bayesian classifier combination that has been successfully applied in both the physical and...