Econometrics Commons^™

Cryptocurrencies Bandwagon…Fad Wave Or Investment Asset? Firm Level Analysis Of Panel Data In Egypt, Yasmine Galal

Theses and Dissertations

The crypto market is growing rapidly and gaining momentum globally. The current study is tackling the impact of the crypto exchanges on the stock market in Egypt. The author consolidated firm level data from DataStream and Cryptocurrency data from CoinDesk to conduct this study over the period 2014-2020. The methodology is based on Fixed Effect and IV-GMM models to study the differential impact across sectors and firm attributes. Our main findings can be highlighted as follows: (a) cryptocurrencies are substitutes to stocks. (b)Two periods are highlighted in the analysis: 2016 post currency devaluation and COVID-19 pandemic, where the adoption was …

Risk Price Variation: The Missing Half Of Empirical Asset Pricing, Andrew John Patton, Brian M. Weller

Research Collection School Of Economics

Equal compensation across assets for the same risk exposures is a bedrock of asset pricing theory and empirics. Yet real-world frictions can violate this equality and create apparently high Sharpe ratio opportunities. We develop new methods for asset pricing with cross-sectional heterogeneity in compensation for risk. We extend k-means clustering to group assets by risk prices and introduce a formal test for whether differences in risk premiums across market segments are too large to occur by chance. We find significant evidence of cross-sectional variation in risk prices for almost all combinations of test assets, factor models, and time periods considered.

Essays On Empirical Asset Pricing Models, Somayeh Ahmadi

Dissertations, Theses, and Capstone Projects

This thesis examines co-movement across industry return and value and momentum asset price anomalies through a new perspective and uses machine learning and spatial econometrics approaches. The first chapter examines the main approaches developed in the cross-section asset pricing literature for finding risk variables. The second chapter focuses on spatial co-movement across US industry returns. We show that spatial co-movement explains the variance in US industry returns after accounting for exposure to common variables, serial dynamics, and industry sector-specific characteristics using a dynamic spatial panel data model. The results show that an investment strategy that buys industry portfolios with high …

Essays In Monetary And Macroprudential Policies, Mikheil Dvalishvili

Dissertations, Theses, and Capstone Projects

Chapter 1 Using a medium scale general equilibrium New Keynesian business cycle model with macroprudential policy and news shocks I study the effectiveness of various combinations of the monetary and macroprudential policies. I incorporate defaults both in the banking sector and households. The results show that out of the policy strategies considered the standard Taylor rule combined with the LTV requirement that reacts countercyclically to the deviation of house prices from the steady state yields higher welfare as compared with all the other strategies considered. Additionally, the standard Taylor rule combined with either of the countercyclical LTV requirements mitigates the …

A Panel Clustering Approach To Analyzing Bubble Behavior, Yanbo Liu, Peter C. B. Phillips, Jun Yu

Research Collection School Of Economics

This study provides new mechanisms for identifying and estimating explosive bubbles in mixed-root panel autoregressions with a latent group structure. A post-clustering approach is employed that combines a recursive k-means clustering al-gorithm with panel-data test statistics for testing the presence of explosive roots in time series trajectories. Uniform consistency of the k-means clustering algorithm is established, showing that the post-clustering estimate is asymptotically equivalent to the oracle counterpart that uses the true group identities. Based on the estimated group membership, right-tailed self-normalized t-tests and coefficient-based J-tests, each with pivotal limit distributions, are introduced to detect the explosive roots. The usual …

Liquidity Commonality With Factor Models, Ernesto Garcia Iii

Dissertations, Theses, and Capstone Projects

Market microstructure research has recently devoted attention to a phenomenon called commonality in liquidity. In this dissertation, I will analyze commonality in liquidity using a novel factor model approach and a generalized definition of commonality in liquidity. This analysis will show that commonality in liquidity is rarely a marketwide phenomenon and is mostly restricted to stocks with a large market capitalization. Additionally, commonality in liquidity is a very recent phenomenon whose appearance coincides with a rise in passive investing after the Dotcom Bubble burst and, more so, after the 2008 Financial Crisis. I will present evidence that suggests commonality in …

Vector Autoregression Analysis Of The Relationship Between Inflation Rate, Interest Rate, And Exchange Rate To The Jakarta Islamic Index, Ajeng Qurrota A'Yun, Nur Fatwa

Journal of Strategic and Global Studies

ABSTRACT

The Indonesian Sharia Capital Market is an interesting thing to study because based on the 2019 Global Islamic Finance Report (GIFR) report, Indonesia is ranked first in the Global Sharia Financial Market. The Jakarta Islamic Index (JII) is the sharia stock index that was first launched on the Indonesian capital market on July 3, 2000 and only consisted of the 30 most liquid Islamic shares listed on the Indonesia Stock Exchange. This study will try to uncover how the relationship between macroeconomic variables in Indonesia by using Vector Autoregression (VAR) analysis and using monthly secondary data from 2012-2019. VAR …

The Effects Of Environmental Corporate Social Responsibility On Financial Returns, Kevin Acevedo

Theses and Dissertations

A major issue concerning companies is global warming and the impact that firms have on the environment. Companies are taking steps towards sustainability, but it is unclear if sustainable business practices are beneficial to companies’ financial performance. This paper examines the effect of environmental corporate social responsibility (CSR) of Fortune 250 companies on financial performance. The analysis reveals significant effects on financial performance, but they are inconsistent and hard to interpret.

Evaluating The Impact Of Off-Farm Decisions On Federal Government Program Utilization And Financial Success For Missouri's Beginning Farmers, Lyndsey Ann Parker

Graduate Theses/Dissertations

Farmers and ranchers will have to increase production by approximately 70% by the year 2050 according to the American Farm Bureau Federation (2017). People in the agriculture industry face several challenges from start-up costs to limited land availability (Ahearn, 2011). There are federal and state government programs available to assist with some of these challenges but bring their own hardships as well. This study measures off-farm decisions that affect financial performance and utilization of government programs for Missouri’s farmers and ranchers. Three types of financial performance of Missouri farms are prioritized in this study, liquidity (current ratio), solvency (debt-to-asset ratio), …

Modeling Post-Crisis Monetary Policy, James Dean

Graduate Theses, Dissertations, and Problem Reports (ETD)

Chapter 1, co-authored with Scott Schuh, examines whether the Taylor Rule still adequately captures monetary policy despite unconventional monetary policies (UMP) and the policy rate near zero in 2009-2015. We find structural breaks at 2007:Q3 in macro models with a shadow funds rate. Taylor Rule coefficients shift back toward pre-1984 estimates and breaks occurred in non-policy parameters. Results are similar with the effective funds rate, so either breaks are not due to UMP or the shadow rate is an insufficient specification of UMP. Chapter 2 incorporates the term structure and the Fed’s average inflation targeting (AIT) framework into the model …

Machine Learning For Stock Prediction Based On Fundamental Analysis, Yuxuan Huang, Luiz Fernando Capretz, Danny Ho

Electrical and Computer Engineering Publications

Application of machine learning for stock prediction is attracting a lot of attention in recent years. A large amount of research has been conducted in this area and multiple existing results have shown that machine learning methods could be successfully used toward stock predicting using stocks’ historical data. Most of these existing approaches have focused on short term prediction using stocks’ historical price and technical indicators. In this paper, we prepared 22 years’ worth of stock quarterly financial data and investigated three machine learning algorithms: Feed-forward Neural Network (FNN), Random Forest (RF) and Adaptive Neural Fuzzy Inference System (ANFIS) for …

Monetary Policy Transmission And Bank Interest Rates In Nigeria, Eleam Victor E., Ekwom Chinyelu G., Ariolu Chibueze C., Umebali Chukwubuzo J., Balogun Adewale T.

CBN Journal of Applied Statistics (JAS)

The paper examines the adjustment of retail and money market interest rates to changes in discount corridor of the monetary policy in Nigeria. A vector error correction model was adopted for this study, using monthly data from 2007:06 to 2019:12. We further accounted for structural breaks in the dataset to improve its policy reliability. The adjustment parameters were found to be significant but with slow speed of adjustment. This finding provides evidence of the weakness of the discount corridor in monetary policy transmission in Nigeria. Furthermore, the results showed no asymmetric adjustment of retail rates to long run equilibria. Lastly, …

Relationship Between Real Exchange Rate And Consumption In Nigeria: A Nonlinear Approach, Babangida Jamilu S., Sanusi Aliyu R., Yusuf Isah M.

CBN Journal of Applied Statistics (JAS)

This study analyses the relationship between real exchange rate and domestic consumption in Nigeria using the Smooth Transition Autoregressive (STAR) model from 1981Q1 to 2019Q4. Findings show that domestic consumption determines the regime shift in real exchange rate, suggesting a nonlinear linkage with clearly distinct regimes. The lagged exchange rate is shown to have a significant linear effect on the current exchange rate. On the other hand, current foreign consumption is positive but has no significant impact on the exchange rate in the linear part of the model. In the nonlinear part of the model, evidence of a significant negative …

Is Offense Worth More Than Defense In The National Basketball Association?, Justin Ehrlich, Joel Potter

Sport Management - All Scholarship

Motivated by the popular sports saying, “Offense sells tickets, defense wins championships,” we use Forbes revenue data to quantify whether offense really does sell more ‘tickets’ than defense in the National Basketball Association (NBA). Employing team offensive and defensive win shares as measures of offensive and defensive proficiency, we find offensively oriented teams generate the same amount of revenue as do defensively oriented teams, other things equal. Our results suggest that both profit-maximizing and win-maximizing teams should value offensively and defensively players equivalently (per unit). Thus, in an efficient free agent market, we would expect equilibrium player salaries for offensive …

Budget Deficit And Economic Growth In Nigeria, A. D. Umaru, H. M. Aliero, M. Abubakar

Economic and Financial Review

This paper examines the relationship between budget deficit and economic growth in Nigeria, from a linear and non-linear perspective, using annual time series data from 1981 to 2019. The linear model, which involves the use of an autoregressive distributed lag (ARDL) approach, was compared with a non-linear analysis, using a threshold autoregressive (TAR) model. The ARDL analysis reveals that the growth of national output is positively driven by the persistent budget deficit in Nigeria. This was substantiated by the TAR model which indicates that though budget deficit drives economic growth in Nigeria, the positive relationship holds only if the deficit …

Covid-19: A Black Swan?, Ben M. Uehlinger

Senior Honors Projects, 2020-current

A Black Swan, as termed by Nassim Taleb, is an unexpected, high magnitude event that is often rationalized in hindsight. 9/11 and the Financial Crisis of 2008 are two examples of these tail probability events. Though COVID-19 has been regarded as momentous and unexpected, Taleb does not credit it as a true Black Swan. This paper aims to compare COVID-19 to these recent Black Swans in terms of predictability and significance. Cointegration was tested across 11 major sectors. Further economic indicators were explored with the goal of discussing the broader context of each event. It was concluded that COVID-19 was …

A Hybrid Equity Release Plan For Retirement Financing, Koon Shing Kwong, Yiu Kuen Tse, Junxing Chay

Research Collection School Of Economics

There are two main equity release plans for retirement financing: reverse mortgage plan and home reversion plan. Both plans entitle the homeowners not only to release cash from their properties but also to allow them living there for life. In the lease buyback scheme (LBS) recently introduced in Singapore, the home owner sells the tail-end of the property lease to the government in exchange for a cash payment upfront. Unlike the two main equity release plans, the LBS only allows the owner to stay in the property for the front part of the lease but not for life.

In this …

The Effects Of Imf's Lending And Conditionalities On Economic Growth: Case Of Sadc Countries, Lutete Celina Carlos

Masters Theses

I examine the impact of IMF credit use and its conditions on economic growth performance in 12 South African countries over a period of 1999-2019. The work adopts an empirical and quantitative approach to analyzing the relationship between the GDP per Capita, the use of IMF Credit, Government Final Consumption Expenditure, Net Domestic Credit and Current Account balance. These variables are the most recommended in the IMF conditionalities during the lending arrangements with SADC members. The study uses Fixed-effect approach to evaluate how the use of IMF program and the conditions imposed directly affects economic growth. A dummy variable is …

Feature Investigation For Stock Returns Prediction Using Xgboost And Deep Learning Sentiment Classification, Seungho (Samuel) Lee

CMC Senior Theses

This paper attempts to quantify predictive power of social media sentiment and financial data in stock prediction by utilizing a comprehensive set of stock-related fundamental and technical variables and social media sentiments. For conducting sentiment analysis, this study employs a pretrained finBERT model that provides three different sentiment classifications and respective softmax scores. Hence, the significance of these variables is evaluated with XGBoost regression and Shapley Additive exPlanations (SHAP) frameworks. Through investigating feature importance, this study finds that statistical properties of sentiment variables provide a stronger predictive power than a weighted sentiment score and that it is possible to quantify …

Volatility Spillover Between Stock Market And Currency Market Of Pakistan In The Presence Of Structural Breaks, Muhammad Jamil, Hifsa Mobeen

Business Review

This study examines the volatility transmission between the currency market and the stock market of Pakistan in the presence of structural breaks. For this purpose, daily data from the stock market and currency market is analyzed. An empirical investigation is conducted using the bivariate EGARCH model and the test for multiple structural breaks developed by Bai and Perron (2003). This study analyses these markets with the inclusion of sudden changes. Results of the EGARCH model suggest that volatility spillover is positive and bidirectional between these markets of Pakistan.

Social Determinants Of Health: The Impact On Health Outcomes And Hospital Profitability, Danielle Mcpherson

Doctor of Business Administration Dissertations

Hospitals are experiencing decreasing profitability due to increasing healthcare cost. In this paper, I demonstrate that there is financial value to hospitals by addressing social determinants of health (SDOH) as this strategy improves health outcomes and yields cost savings. I estimate the impact of SDOH on the health outcomes using an IV probit regression analysis and estimated the impact of health outcomes on cost using a basic linear regression. I estimate that improving SDOH by one standard deviation will result in hospital cost savings as follows: addressing Violent Crime will decrease hospital cost between 0.16% and 0.21%, addressing Supplemental Nutrition …

Causal Change Detection In Possibly Integrated Systems: Revisiting The Money-Income Relationship, Shuping Shi, Stan Hurn, Peter C. B. Phillips

Research Collection School Of Economics

This paper re-examines changes in the causal link between money and income in the United States over the past half century (1959-2014). Three methods for the data-driven discovery of change points in causal relationships are proposed, all of which can be implemented without prior detrending of the data. These methods are a forward recursive algorithm, a rolling window algorithm, and a recursive evolving algorithm all of which utilize subsample tests of Granger causality within a lagaugmented vector autoregressive framework. The limit distributions for these subsample Wald tests are provided. Bootstrap methods are developed to control family-wise size in the implementation …

Money And Foreign Exchange Markets Dynamics In Nigeria: A Multivariate Garch Approach, Atoi Ngozi V., Nwambeke Chinedu G.

CBN Journal of Applied Statistics (JAS)

This study examines the money market and foreign exchange market dynamics in Nigeria by estimating the dynamic correlation and volatility spillovers between the Nigeria Naira/US Dollar Bureau De Change (BDC) exchange rate and interbank call rate with data from January 2007 to August 2019. The study employs a dynamic conditional correlation form of the GARCH model (DCC-GARCH) to assess the nature of correlation, while an unrestricted bivariate BEKK-GARCH (1, 1) form of the multivariate GARCH model is utilized to investigate shocks and volatility spillover of the rates. The estimated DCC-GARCH (1, 1) reveals that interest rate and exchange rate are …

Does Bitcoin Use Affect Crime Rates?, Kevin Keane

The Corinthian

Bitcoin is the most widely used cryptocurrency in the world because of its decentralized network that completes user-to-user transactions, eliminating the need for intermediaries. During 2017, the volume of Bitcoin transactions totaled $94.3 trillion. Bitcoin transactions are recorded in a public database called the blockchain. Although the blockchain can keep track of how many transactions there are, it can’t identify the people involved in transactions. The lack of identity increases the anonymity of Bitcoin transactions, making it less detectable when used for crime. Using the Uniform Crime Reporting’s state-level crime rate data and blockchain’s Bitcoin transaction information, I estimate the …

Data Driven Value-At-Risk Forecasting Using A Svr-Garch-Kde Hybrid, Marius Lux, Wolfgang Karl Hardle, Stefan Lessmann

Sim Kee Boon Institute for Financial Economics

Appropriate risk management is crucial to ensure the competitiveness of financial institutions and the stability of the economy. One widely used financial risk measure is value-at-risk (VaR). VaR estimates based on linear and parametric models can lead to biased results or even underestimation of risk due to time varying volatility, skewness and leptokurtosis of financial return series. The paper proposes a nonlinear and nonparametric framework to forecast VaR that is motivated by overcoming the disadvantages of parametric models with a purely data driven approach. Mean and volatility are modeled via support vector regression (SVR) where the volatility model is motivated …

Capital Adequacy Requirement And Bank Behaviour In Nigeria, Baba Nmadu Yaaba, Lailah G. Sanusi

Bullion

The divergent views on the usefulness of capital adequacy ratio (CAR) in controlling the risk appetite of banks necessitates further research on its efficiency and effectiveness. Whereas proponents of CAR believe that it enhances the soundness and stability of the banking system, opponents contend that it can impedes on the intermediating capabilities of banks and possibly ignites credit crunch that could induce fall in the level of output. This study empirical verifies the infuence of CAR on the behavior of banks in Nigeria. The study adopts a system of simultaneous equation, in the tradition of Maraghni (2017) using Generalized Method …

The Impact Of External Debt On Agricultural Production In Nigeria (1980-2016): Autoregressive Distributed Lag Modelling, Aishatu U. Yerima, Hussaini M. Tahir

Bullion

The study analyzed the impact of external debt on Nigeria's agricultural production from 1980 to 2016 using secondary data obtained from Central Bank of Nigeria (CBN) statistical bulletin and the World Development Indicators (WDI). Augmented DickeyFuller unit root test and the autoregressive distributed lag (ARDL) bound testing approach to co-integration were utilized, to achieve the objectives of the study. Empirical results revealed that the variables were cointegrated, indicating that they exhibited long run relationship, both in the short and the long run. External debt stock (EDS) had a significant positive impact on agricultural production (AGP), indicating that EDS positively impacted …

Essays In Financial Economics And Applied Macroeconomics, Marius Mihai

Dissertations, Theses, and Capstone Projects

This dissertation consists of three chapters that cover topics in finance and macroeconomics.

Chapter 1 - Do Credit Booms Predict U.S. Recessions?

This paper investigates the role of bank credit in predicting U.S. recessions since the 1960s in the context of a bivariate probit model. A set of results emerge. First, credit booms are shown to have strong positive effects in predicting declines in the business cycle at horizons ranging from six to nine months. Second, by isolating the effect of credit booms, I identify their contributions to recession probabilities which range between three and four percentage points at a …

Shocks To Aggregate Demand And Aggregate Supply In The Midst Of Covid-19, Anna M. Gellerman

Publications and Research

COVID-19 sent shockwaves throughout the economy, changing the amounts of goods and services distributed and altering the demand. This article discusses the negative demand shock and adverse supply shock that the U.S. economy faced in 2020, and the policies that the government implemented to reverse these effects.

Comovement And Instability In Cryptocurrency Markets, Pierangelo De Pace, Jayant Rao

Pomona Economics

We analyze the extent of comovement between daily price returns of nine major cryptocurrencies during the first three main phases of their development, from April 2013 to November 2018. We assess its evolution using bivariate and multivariate modelling approaches, and detect pronounced time variation. Generally, comovement is initially low and positive, but increases between early 2017 and late 2018. We then adopt a right-tail version of the Augmented Dickey-Fuller unit root test to identify periods of mildly explosive behavior (statistical instability) in the Network Value to Transactions (NVT) ratio (a measure of the dollar value of cryptocurrency transaction activity relative …