Econometrics Commons^™

Essays In Macroeconomics And Finance, Archil Dvalishvili

Dissertations, Theses, and Capstone Projects

Chapter 1: (A Quantitative Analysis of Interest on Reserves and Reserve Requirements) - I construct a medium scale DSGE model with financial frictions both on the demand (entrepreneurs) and supply (banks) sides of credit to study the costs and benefits of fixed/time-varying minimum reserve requirements and interest paid by the Fed on reserves.The results can be summarized as follows: (1) An optimal time-varying minimum reserve requirement generates substantial welfare gain when compared with a fixed minimum reserve requirement when no interest is paid on reserves. (2) Paying interest on reserves is substantially welfare inferior to a policy with no interest …

Essays On Machine Learning Methods In Economics, Mani Bayani

Dissertations, Theses, and Capstone Projects

This dissertation consists of three chapters on machine learning modeling in economics. Chapter 1 - Robust PCA Synthetic Control: In this chapter, I propose an algorithm for comparative studies called robust PCA synthetic control. My algorithm builds on the synthetic control model of Abadie et al., 2015 and the robust synthetic control model of Amjad et al., 2018. I apply all three methods (robust PCA synthetic control, synthetic control, and robust synthetic control) to answer the hypothetical question, what would have been the per capita GDP of West Germany if it had not reunified with East Germany in 1990? I …

Essays On Applied Machine Learning For Implied Volatility Interpolation And Artificial Counterfactuals, Pablo A. Crespo

Dissertations, Theses, and Capstone Projects

This dissertation consists of two chapters.

Chapter 1: Volatility estimates under the risk neutral density have become a much revisited topic of interest in recent years. The density proves itself a powerful tool for sentiment analysis, since its moments provide insights about expectations in price trends. A standard procedure for its extraction utilizes artificial volatility predictions to form a dense enough grid for approximating a complete probability distribution. This paper proposes two common machine learning technique variations to produce implied volatility predictions when data is very scarce. First, a model using regularization through a variation of a generalized LASSO path …

Bayesian State Space Representation Model: Applications To Macroeconomics And International Finance, Hiroshi Morita

Dissertations, Theses, and Capstone Projects

This dissertation develops three new econometric models using Bayesian state space representation model in order to apply to macroeconomics and international finance. It consists of 3 chapters. Chapter 1 develops a Markov mixture model of macroeconomic fundamentals to analyze the short-run dynamics of foreign exchange rates. In our model, foreign exchange rates are simultaneously determined by three parities: the interest rate parity, the inflation rate parity, and the equity return rate parity. Using four exchange rates: the U.S. dollar price of the British pound, the German mark, the Japanese yen, and the Canadian dollar, the findings are: (1) Our model …