Structural identification schemes are of essential importance to vector autoregressive (VAR) analysis. This paper tests a commonly used structural parameter identification scheme to assess whether it can properly capture fundamental and non-fundamental shocks to stock prices. In particular, five...

We consider a new copula method for mixed marginals of discrete and continuous random variables. Unlike the Bayesian methods in the literature, we use maximum likelihood estimation based on closed-form copula functions. We show with a simulation that our methodology performs similar to the...

The identification of information problems in different markets is challenging issue in the economic literature. In this paper, we study the identification of moral hazard from adverse selection and learning within the context of a multi-period dynamic model. We extend the model of Abbring et...

This paper extends the economic growth model tested by Levine and Zervos (1998) by including a measure for capital allocation efficiency proxied by stock price informativeness. Using a sample of 59 countries, this study finds that stock price informativeness as measured by firm-specific return...

This paper extends the output growth model tested by Levine and Zervos (1998) by including a measure for capital allocation efficiency proxied by stock price informativeness. Using a sample of 62 countries, this study finds that stock price informativeness as measured by firm-specific return...

This paper extends the output growth model tested by Levine and Zervos (1998) by including a channel for capital allocation efficiency proxied by stock price informativeness. Using a sample of 59 countries, this study finds that stock price informativeness as measured by firm-specific return...

This paper extends the output growth model tested by Levine and Zervos (1998) by including a channel for capital allocation efficiency proxied by stock price informativeness. Using a sample of 59 countries, this study finds that stock price informativeness as measured by firm-specific return...

In this paper, we propose a multi-period ordinal logistic regression model for credit rating transition probabilities. This is a natural choice since credit rating can be viewed as categories with natural order which is related with quantitatively measured credit score. A classical static...

The time-series nature of mortality rates lends itself to processing through neural networks that are specialized to deal with sequential data, such as recurrent and convolutional networks. Although appealing intuitively, a naive implementation of these networks does not lead to enhanced...

This paper constructs an early warning system (EWS) for currency crises in Nigeria based on selected key macroeconomic indicators. It estimates the probabilities of currency crises as a logistic function of the included variables within the framework of a logit model. Particularly, the extent to...