We build an agent-based dynamical system for the global economy to investigate and analyze financial crises. The agents are large aggregates of a subeconomy, and the global economy is a collection of subeconomies. We use well-known theories of dynamical systems to represent a financial crisis as...

We offer a structural interpretation of survey measures of consumer confidence. Our approach is based on a simple forward-looking model of consumption. The model decomposes observed consumption uctuations in changes due to fundamentals, and changes due to temporary errors caused by noisy...

In this paper we aim to trace the roots of the ongoing economic mayhem and to unmask the chorus of the tragedy which plays on the world stage. The main thesis of our work is that, despite the triumphant rhetoric praising the merits of perfect competition, the global fields of the dysfunctional...

In this paper we aim to trace the roots of the ongoing economic mayhem and to unmask the chorus of the tragedy which plays on the world stage. The main thesis of our work is that, despite the triumphant rhetoric praising the merits of perfect competition, the global fields of the dysfunctional...

It is generally accepted that excessive exuberance or gloom in investor sentiment contributes to booms and crashes in asset prices but, because of its complex interaction with other aspects of the valuation process, these effects are not easy to identify with statistical confidence and this...

In this study we use machine learning algorithm to test Amareos sentiment indicator's predictive power of market reversals. We then build and test a viable trading strategy.As input for the algorithm, we used eight market sentiment indicators (Anger, Anticipation, Disgust, Fear, Gloom, Joy,...

Given the volatility of home values in recent decades, and the potential impact on the macroeconomy, the ratio of house prices to rents has been employed as an indicator of potential housing market froth. Researchers have attempted to find a stationary relationship between house prices and...

The study attempts to assess the influence of investor sentiment onselected sectoral indices returns volatility in the Indian stock market over theperiod from 2015-2019. GARCH, EGARCH, and Bivariate VAR models wereapplied for data analysis after checking unit root issue of the data. Nine...