This paper uses a recent wave of a nationally representative survey to determine the predictors of financial planning services utilization among younger baby boomers. The results suggest that cognitive factors and factors related to human capital, such as IQ and educational attainment, are...

Financial institutions have the responsibility to measure an investor's risk tolerance to determine his or her risk profile. Once an investor's risk profile is determined, financial institutions are able to more accurately identify which financial products are suitable for the investor. Several...

This paper documents and studies sources of international differences in participation and holdings in stocks, private businesses, and homes among households aged 50+ in the US, England, and eleven continental European countries, using new internationally comparable, household-level data. With...

We decompose total disagreement about macro variables into the disagreement among optimists (i.e., forecasters whose forecast exceeds a certain threshold) and pessimists. Optimistic (pessimistic) forecasters tend to disagree more in good (bad) times. Pessimistic (optimistic) disagreement...

In this paper we use the tools and frameworks from Oxford University’s postgraduate diploma in financial strategy to study the performance and benefits of algorithmic trading strategies (algos), and specifically those that use artificial intelligence (AI) and machine learning (ML).We discover...

We study the use of trading strategies and their profitability in experimental asset markets with asymmetrically informed traders. We find that insiders make most of their profits from trades which are initiated by their limit orders especially at the beginning of a period and when the change in...

Stock markets periodically experience sharp falls with some referred to as outright crashes. The extant literature has generally resorted to survey type evidence to determine the behavior of investors during such episodes. These kind of studies come to the conclusion that fundamentals play...

We use a unique and comprehensive data set on open-end real estate funds in Germany to study a liquidity crisis that hit this industry between 2005 and 2006. Since this industry is comparably unregulated our data set permits us to contrast competing explanations of liquidity crisis. We find that...

The authors study a simple model of an asset market with informed and non-informed agents. In the absence of non-informed agents, the market becomes information efficient when the number of traders with different private information is large enough. Upon introducing non-informed agents, the...

We develop an agent-based financial market model in which agents follow technical and fundamental trading rules to determine their speculative investment positions. A central feature of our model is that we consider direct interactions between speculators due to which they may decide to change...