This project involves discovering how the company’s stock performs in after-hours on the release day of its quarterly financial report and the day after. Project aims to use a variety of machine learning models to make predictions regarding the stock price movements based on the factors that reflect and affect investor reactions, namely, media coverage of financial news, companys’ quarterly fin...

Some insurance markets are characterized by “advantageous selection”, that is, ex-post risk and coverage are negatively correlated. We show that expectation-based loss aversion as in Kőszegi and Rabin (2006, 2007) provides a natural explanation for this phenomenon when agents face modest-scale risks. More exposure to risk has two competing effects on an agent’s willingness to pay for insurance:...

This study explored the antecedents of m-commerce continuance usage intention and their impact on price sensitivity Indonesian customers. The also incorporates contextual factors, such as perceived risk, trust, efficiency, functional benefits, into model to investigate satisfaction users. Moreover, it examines how efficient benefits affect sensitivity. employed online questionnaires gather data...

In this paper we consider two ways to generalize the mathematical expectation of a random variable, the Choquet expectation and Peng’s g-expectation. An open question has been, after making suitable restrictions to the class of random variables acted on by the Choquet expectation, for what class of expectation do these two definitions coincide? In this paper we provide a necessary and sufficien...

The primary objective in cutting and packing problems is trim loss or material input minimization (in stock cutting) or value maximization (when packing into a knapsack). However, in real-life production we usually have many other objectives (costs) and constraints, for example, the number of different patterns. We propose a new simple model for setup minimization (in fact, an extension of the ...

A new heteroskedastic hedonic regression model is suggested. It takes into account time-varying volatility and is applied to a blue chips art market. Furthermore, a nonparametric local likelihood estimator is used. This estimator is more precise than the often used dummy variables method. The empirical analysis reveals that errors are considerably non-Gaussian, and that a student distribution w...

In this paper, we analyze a consumer choice model with price uncertainty, loss aversion, and expectation–based reference points. The implications of this model are tested in an experiment in which participants have to make a consumption choice between two sandwiches. We make use of the fact that participants differ in their reported taste difference between the two sandwiches and the degree of ...

A new heteroskedastic hedonic regression model is suggested. It takes into account time-varying volatility and is applied to a blue chips art market. Furthermore, a nonparametric local likelihood estimator is used. This estimator is more precise than the often used dummy variables method. The empirical analysis reveals that errors are considerably non-Gaussian, and that a student distribution w...

Since the late 1980s the Fed has implemented monetary policy by adjusting its target for the overnight federal funds rate. Money’s role in monetary policy has been tertiary, at best. Indeed, several influential economists suggest that money is irrelevant for monetary policy: Central banks effect economic activity and inflation by a) controlling a very shortterm nominal interest rate and b) by i...