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...

We introduce a simulation method for dynamic portfolio valuation and risk management building on machine learning with kernels. We learn the dynamic value process of a portfolio from a finite sample of its cumulative cash flow. The learned value process is given in closed form thanks to a...

We examine how cultural differences among agents influence the aggregate outcome of a common forecasting task. Using both exogenous shocks to sell-side analyst diversity and panel regression methods, we find that increases in analyst cultural diversity positively affect the quality of the...

Research on socially responsible investment in equity markets initially focused on sin stocks. Since then, the availability of data has been extended substantially and now covers environmental, social, and governance (ESG) criteria. Using ESG scores of firms belonging to the MSCI World universe,...

Managers conducting earnings conference calls display distinctive styles in their word choice. Some CEOs and CFOs routinely use qualifying words such as "approximately", "probably", and "maybe". They are vague talkers. Straight talkers, by contrast, use such words less frequently. Analysts and...

We introduce a model of super-exponential financial bubbles with two assets (risky and risk-free), in which fundamentalist and chartist traders co-exist. Fundamentalists form expectations on the return and risk of a risky asset and maximize their constant relative risk aversion expected utility...

We identify an important channel through which political information propagates into capital markets—Washington policy analysts (WAs). WAs monitor political developments and produce research to interpret the impact of these events. Institutional clients generate superior returns on their...

We use a survey approach to learn about valuation professionals' choices and implementations of valuation techniques in practice. The survey design allows us to control for a respondent's professional subgroup (e.g., consulting), education, experience, and valuation purpose characteristics. We...

In the data mining and machine learning fields, forecasting the direction of price change can be generally formulated as a supervised classfii cation. This paper attempts to predict the direction of daily changes of the Nasdaq Composite Index (NCI) and of the Standard & Poor's 500 Composite...

The aim of this study is to examine whether securitized real estate returns reflect direct real estate returns or general stock market returns using international data for the U.S., U.K., and Australia. In contrast to previous research, which has generally relied on overall real estate market...