Business Commons^™

Two Essays In Real Estate Dynamics, Navid Safari

Theses and Dissertations in Business Administration

Real estate dynamics encompass a multifaceted interplay of various factors that shape the market. This dissertation presents two distinct essays that delve into critical aspects of real estate dynamics.

In the first essay, we investigate the influence of short-term rentals, specifically Airbnb activity, on neighboring house prices in Hampton Roads, Virginia. By employing robust measures such as active listings, reservations, and their cumulative impact over different periods, we uncover a positive association between prior Airbnb rental activity and housing sales prices. Moreover, we observe a spatial decay effect, where the localized impact diminishes with increasing geographic distance, particularly beyond 500 …

The Impact Of The Introduction Of Fx Futures On The Volatility Of The Underlying Asian Emerging Market Currencies, Teresa Starzecki

Doctoral Dissertations (DBA)

This paper examines the impact of the introduction of currency futures on the volatility of four Asian emerging market currencies: Chinese yuan, Indian rupee, South Korean won, and Thai baht. A GARCH(1,1) model is implemented to measure volatility in pre- and post- futures introduction periods along with an MCMC procedure to estimate the model and test the significance in changes in volatility between the periods. We find that for three of the four currencies, the persistence and long-run mean of volatility significantly decrease after futures were introduced, while the variance of variance decreases for all four currencies. The results suggest …

Predictive Distributions Via Filtered Historical Simulation For Financial Risk Management, Tyson Clark

All Graduate Plan B and other Reports, Spring 1920 to Spring 2023

Filtered historical simulation with an underlying GARCH process can be used as a valuable tool in VaR analysis, as it derives risk estimates that are sensitive to the distributional properties of the historical data of the produced predictive density. I examine the applications to risk analysis that filtered historical simulation can provide, as well as an interpretation of the predictive density as a poor man’s Bayesian posterior distribution. The predictive density allows us to make associated probabilistic statements regarding the results for VaR analysis, giving greater measurement of risk and the ability to maintain the optimal level of risk per …

Modeling Stock Return Volatility In Mongolian Stock Market, Munkhtsog Altankhuu

Theses

This paper is one of the first research works to examine the stock index volatility in the Mongolian Stock Exchange. The study utilizes the Generalized Autoregressive Conditional Heteroscedasticity (GAR CH) models to estimate volatility of stock market return of the Mongolian Stock Exchange. A number of prior research work demonstrated that ARCH and GARCH models are fruitful models for modeling volatility of time series data. However, they recommend using different versions of GARCH-type models for different distributions (Normal, Student's t, Skewed Student's t and Generalized Error Distribution) for emerging markets or developing markets. This paper compares the GARCH(l, 1) model …

Arma-Garch Model Applied To Exchange-Traded Funds, Rebecca Davis

Open Access Theses & Dissertations

In this paper, time-varying volatility of some of the leading exchange-traded funds are studied. The ARMA mean equation with GARCH errors is used to model the series correlations and the conditional heteroscadesticity in the asset

returns. The conditional distributions of the standardized residuals are assumed to be skew-generalized error distribution. The high kurtosis and fat tail of the returns, were captured in all the data by fitting an ARMA-GARCH model with the conditional distribution of, skew-generalized error distribution.

Furthermore, the sample cross-correlations of these significant exchange-traded funds and the corresponding financial indices they mimic were computed. The empirical conclusion was …

Study Of Volatility Structures In Geophysics And Finance Using Garch Models, Francis Biney

Open Access Theses & Dissertations

This work investigates the underlying volatility processes in earthquake series, explosive series, high frequency (tick) data and financial indices. Furthermore it examines the applicability of a range of GARCH specifications for modeling volatility of these series in order to identify similarities and differences in the volatility structures. The GARCH

variants considered include the basic GARCH, IGARCH, ARFIMA (0,d,0)-GARCH and FIGARCH specifications. In all the applications the methodology provides insight into features of these series volatility.

Socially Responsible Investment In A Changing World, Desheng Wu

Electronic Thesis and Dissertation Repository

Socially responsible investment funds make up a growing segment of the investment world. This work considers the impact of including SRI in an investor portfolio both normally and during crisis times. Regimes are identified using Markov switching models. This study is based on return data of four indices, namely, the MSCI World Index, S&P 500, Eurostoxx 50, and the socially responsible index - Advanced Sustainable Performance Index (ASPI). The approaches used are portfolio optimization, GARCH and Markov switching models. Our work shows that a socially responsible index is a good asset to keep in a portfolio. Our simulation results suggest …

Style Investing: International Evidence, Daniel Rafael Perez

Theses and Dissertations - UTB/UTPA

This dissertation studies the impact of investor sentiment on a portfolio formed of sin stocks—publicly traded companies in the alcohol, tobacco, and gaming industries. It also investigates the returns of a new type of sin stock in the UK—online gambling. Chapter 3 first uses a vector autogressive model to study the impact of both rational and irrational investor sentiments on pure sin returns. Next, making use of a variety of sentiments-augmented asset pricing models, this research examines whether investor sentiment is a risk factor for sin stock returns and if the abnormal returns of sin stocks persist after controlling for …