Status quo bias is a systematic cognitive error which makes it difficult for individuals to make decisions independently of the currently dominant situation. This study pursues the question of whether bond market analysts are affected by status quo bias. We evaluated interest rate forecast...

Labor market policies succeed or fail at least in part depending on how well they reflect or account for behavioral responses. Insights from behavioral economics, which allow for realistic deviations from standard economic assumptions about behavior, have consequences for the design and...

This study examined the relationship between share prices and dividends, earnings and book values for companies listed on the Nairobi Securities Exchange (NSE) in Kenya for the six years period between 2005 and 2010. Using panel data analysis the study found evidence that there is a positive and...

Passive investment strategies basically aim to replicate an underlying benchmark. Thereby, the management usually selects a subset of stocks being employed in the optimization procedure. Apart from the optimization procedure, the stock selection approach determines the stock portfolios's...

Even though a random walk process is from a statistical point of view not predictable, some movements can be correlated with specific events concerning other variables. Then, predictable patterns may arise being dependent on this joint event. There is evidence given that equity price busts being...

This paper studies long-term trends of self-employment in Chile. Self-employment is associated with poor job conditions, vulnerability, and instability or informal labor market. Contrary to what is expected, self- employment level does not respond to macroeconomic variables. Using forty-one...

The aim of this paper is to analyze the merits of using the Value At Risk method in estimating the risk associated with investments in metallurgical sector companies. The paper presents how to construct the model, various methods of its estimation and their advantages and disadvantages. In the...

This contribution studies the application of heteroskedasticity robust estimation of Vector-Autoregressive (VAR) models. VAR models have become one of the most applied models for the analysis of multivariate time series. Econometric standard software usually provides parameter estimators that...