Econometrics Commons^™

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 …

Is There Room In The United States Diet For Goat Meat? Analysis Of The 2019 National Goat Meat Survey, Everett Marcus Martin

MSU Graduate Theses

Demand for goat meat has steadily increased in the past decade, but few studies have been conducted addressing goat meat attributes and demographic factors on consumers’ willingness to buy goat meat products. Analyzing a national consumer survey on goat meat preference, a logit modeling is used addressing factors affecting willingness to buy three goat meat products: grass-fed, locally grown, and organically raised. Results indicate that quality and freshness attribute characteristics significantly affect consumer willingness to buy grass-fed, organic, and locally grown goat meat.

A Practical Guide To Harnessing The Har Volatility Model, Adam Clements, Daniel P. A. Preve

Research Collection School Of Economics

The standard heterogeneous autoregressive (HAR) model is perhaps the most popular benchmark model for forecasting return volatility. It is often estimated using raw realized variance (RV) and ordinary least squares (OLS). However, given the stylized facts of RV and well-known properties of OLS, this combination should be far from ideal. The aim of this paper is to investigate how the predictive accuracy of the HAR model depends on the choice of estimator, transformation, or combination scheme made by the market practitioner. In an out-of-sample study, covering the S&P 500 index and 26 frequently traded NYSE stocks, it is found that …

Distillers' Grains: Past, Present, And Future Economic Analyses, Daniel E. Gertner

Department of Agricultural Economics: Dissertations, Theses, and Student Research

This thesis is comprised of four chapters, each of which discusses or conducts economic research related to the distillers’ grains market. The first three chapters are meant to be standalone papers. Chapter four provides potential paths forward in distillers’ grains research based on the findings of the first three chapters and concludes the thesis.

The first chapter conducts a comprehensive literature review that categorizes and summarizes economic research on distillers’ grains products. This section shows how the physical market has moved beyond the current academic understanding of market products and structure. Existing research finds that traditional distillers’ grains products positively …

Economic Forecasting In An Epidemic: A Break From The Past?, Hwee Kwan Chow, Keen Meng Choy

Research Collection School Of Economics

This paper aims to investigate whether the predictive ability and behaviour of professional forecasters are different during the Covid-19 epidemic as compared with the global financial crisis of 2008 and normal times. To this end, we utilise a survey of professional forecasters in Singapore collated by the central bank to analyse the forecasting record for GDP growth and CPI inflation. We first examine the point forecasts to document the extent of forecast failure in the pandemic crisis and test for behavioural explanations of the possible sources of forecast errors such as leader following and herding behaviour. Using percentile-based summary measures …

Tourism And Terrorism- A Study Of Jammu And Kashmir, Altaf Ahmd Kumar

Journal of Tourism Insights

Abstract

Purpose - This research article analyzes terrorism and its impacts on tourism in Jammu and Kashmir. This article aims to know what terrorism is and how it impacts the tourism sector in the three geographical regions of erstwhile Jammu and Kashmir bifurcated into two union territories by the Indian government after the abrogation of Article 370 of the Indian constitution.

Methodology - Secondary data sources have been used, collected from Director Tourism Kashmir, Director Tourism Jammu, Jammu, and Kashmir Coalition of Civil Societies, and Home Ministry of India. In this research paper, the Vector Error Correction Model (VECM) of …

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 …

Fixed-K Inference For Volatility, Tim Bollerslev, Jia Li, Zhipeng Liao

Research Collection School Of Economics

We present a new theory for the conduct of nonparametric inference about the latent spot volatility of a semimartingale asset price process. In contrast to existing theories based on the asymptotic notion of an increasing number of observations in local estimation blocks, our theory treats the estimation block size k as fixed. While the resulting spot volatility estimator is no longer consistent, the new theory permits the construction of asymptotically valid and easy-to-calculate pointwise confidence intervals for the volatility at any given point in time. Extending the theory to a high-dimensional inference setting with a growing number of estimation blocks …

The Medicaid Expansion: Modeling Of Important Factors In State Decision Making, Augustus M. White

Haslam Scholars Projects

No abstract provided.

A Reassessment Of The Potential For Loss-Framed Incentive Contracts To Increase Productivity: A Meta-Analysis And A Real-Effort Experiment, Paul J. Ferraro, J. Dustin Tracy

ESI Working Papers

Substantial productivity increases have been reported when incentives are framed as losses rather than gains. Loss-framed contracts have also been reported to be preferred by workers. The results from our meta-analysis and real-effort experiment challenge these claims. The meta-analysis' summary effect size of loss framing is a 0.16 SD increase in productivity. Whereas the summary effect size in laboratory experiments is a 0.33 SD, the summary effect size from field experiments is 0.02 SD. We detect evidence of publication biases among laboratory experiments. In a new laboratory experiment that addresses prior design weaknesses, we estimate an effect size of 0.12 …

The Macroeconomic Impacts Of Entitlements, Ateeb Akhter Shah Syed, Kaneez Fatima, Riffat Naseer

The Hilltop Review

The worries expressed by Alan Greenspan that the long run economic growth of the United States will fade away due to increasing burden of entitlements motivated us to empirically investigate the impact of entitlements of key macroeconomic variables. To examine this contemporary issue, we estimate a vector error-correction model to analyze the impact of entitlements on the price level, real output, and the long-term interest rate. The results show that a shock to entitlements leads to decrease in output and lends support to the assertion made by Alan Greenspan. Several robustness checks verify that the results remain unchanged qualitatively.

Spatial Dynamic Models With Short Panels: Evaluating The Impact Of Home Purchase Restrictions On Housing Prices, Naqun Huang, Zhenlin Yang

Research Collection School Of Economics

Since the 2007 housing crisis in the United States, many countries have begun implementing various macroprudential policies to curb the ongoing rise in housing prices. As there is no clear consensus in the literature on the efficacy of these interventions, understanding their short-term impacts is crucial in informing future policy designs. Adapting a new econometric technique, we examine the short-term impact of home purchase restrictions in Singapore, accounting for the short panel nature of the data and the existence of dynamic, spatial, spatiotemporal, and unit-specific effects. Using quarterly housing data over 2012Q4-2014Q2, we find that public housing prices decrease by …

Beware The Gini Index! A New Inequality Measure, Sabiou M. Inoua

ESI Working Papers

The Gini index underestimates inequality for heavy-tailed distributions: for example, a Pareto distribution with exponent 1.5 (which has infinite variance) has the same Gini index as any exponential distribution (a mere 0.5). This is because the Gini index is relatively robust to extreme observations; while a statistic’s robustness to extremes is desirable for data potentially distorted by outliers, it is misleading for heavy-tailed distributions, which inherently exhibit extremes. We propose an alternative inequality index: the variance normalized by the second moment. This ratio is more stable (hence more reliable) for large samples from an infinite-variance distribution than the Gini index …

Violence And Development: The Cost Countries Pay For High Rates Of Homicide, Brittany Lowe

The Cardinal Edge

Violence is one of the largest and most persistent humanitarian crises across the globe. Understanding violence’s role in economic costs and losses is crucial to informing and guiding decision makers. This study uses international panel data to conduct a log-linear regression with time and country fixed effects. It focuses on studying the causal effects of violent crime on GDP at an aggregate, international level. The results find that the homicide rate has a statistically significant, negative effect on GDP per capita. Acts of violence come not just at a humanitarian cost, but also at the cost of economic progress and …

Pass-Through Effects Of Standing Facilities On Bank Interest Rates In Nigeria, Victor Ezeora Eleam, Chinyelu Gloria Ekwom, Chibueze Charles Ariolu, Chukwubuzo Jackson Umebali, Adewale Timothy Balogun

Economic and Financial Review

The paper investigates the pattern of pass-through effects of standing facilities rates on commercial bank retail interest rates in Nigeria. Monthly data spanning 2007:06 to 2019:12 and the Gregory-Hansen cointegration method that accounts for structural breaks are used in the empirical analysis. The adjustment parameters for the standing deposit and lending facilities are found to be significant, but with a low speed of adjustment. This provides some evidence on the nature of the interest rate channel of monetary policy transmission in the country. Furthermore, the study could not confirm asymmetry in the adjustment of retail rates to their long-run equilibria. …

Asymmetric Trade Flows, Monetary And Business Cycle Asynchronization Among Ecowas Member Countries: Feasibility Of Ecowas Monetary Union Formation Beyond 2020, Joseph Okwori, Walter O. Ugwuoke

Bullion

The formation of the West African Monetary Union which was initially slated for 2003 was postponed severally in 2005, 2009, 2015 and 2020. This raises the curiosity of investigating the possibility of its formation beyond 2020. It is against this backdrop that this paper investigated asymmetric trade flows, monetary policy and business cycle asynchronization among ECOWAS member countries: Feasibility of ECOWAS Monetary union formation beyond 2020. The objective was addressed using Pearson correlation analysis on computed zscores and the seemingly unrelated regression estimation (SURE). The finding shows that the flow of trade within ECOWAS member countries were highly asymmetric indicating …

External Sector Liberalization And Output Growth In Nigeria, Emmanuel A. Onwioduokit, Obong E. Effiong

Bullion

The paper investigates the impact of external sector liberalization (foreign direct investment, external debt stock, trade openness and exchange rate) on the output growth in Nigeria from the period 1981 to 2019, utilizing correlation analysis, Granger causality test and vector autoregression (VAR). The results indicate that foreign direct investment, external debt stock, trade openness and exchange rate all correlate positively with gross domestic product. Also, the granger causality test indicates that foreign direct investment, trade openness and exchange rate granger cause the output growth in Nigeria. From the VAR result foreign direct investment exerted positive and significant impact on the …

Three Essays On Exchange Rate Models And Their Applications, Azza A. Mansour

Dissertations, Theses, and Capstone Projects

Chapter 1: This chapter attempts to identify the determinant of exchange rate pass-through into producer and destination prices using highly disaggregated firm-level data of importers and exporters of the Egyptian economy from 2009 to 2013. The main findings assert the hypothesis of complete exchange rate pass-through into destination prices at the lowest level of significance for the average exporting firm that is also importing. Furthermore, the firm with the highest import intensity has a lower percentage of pass-through into destination prices, indicating that the marginal cost channel plays a more significant role in determining the speed of the exchange rate …

Rationalizable Implementation In Finite Mechanisms, Y-C Chen, Takashi Kunimoto, Y Sun, S. Xiong

Research Collection School Of Economics

We prove that the Maskin monotonicity condition (proposed by Bergemann et al. (2011)) fully characterizes exact rationalizable implementation in an environment with lotteries and transfers. Different from previous papers, our approach possesses many appealing features simultaneously, e.g., finite mechanisms with no integer game or modulo game are used; no transfers are made in any rationalizable profile; the message space is small; the implementation is robust to information perturbations in the sense of Oury and Tercieux (2012).

Dynamic Resource Allocation With Cost Externality, Hao Zhao, David Porter

ESI Working Papers

The inter-temporal resource allocation efficiency of a property rights-based common-pool resource system is challenged by a cost externality when one user’s extraction raises the extraction cost for others. This paper builds a dynamic resource allocation model to illustrate the efficiency loss from a standard property rights market. We then create a novel inter-temporal allocation mechanism that preserves dynamic efficiency. Our dynamic resource allocation mechanism includes an optimal planning stage where the agents collectively determine a binding extraction target for each period and a market stage where agents can exchange their extraction rights assigned within each period. The theoretical model demonstrates …

Conflict In The Pool: A Field Experiment, Loukas Balafoutas, Marco Faravelli, Roman Sheremeta

ESI Working Papers

We conduct a field experiment on conflict in swimming pools. When all lanes are occupied, an actor joins the least crowded lane and asks one of the swimmers to move to another lane. The lane represents a contested scarce resource. We vary the actor’s valuation (high and low) for the good through the message they deliver. Also, we take advantage of the natural variation in the number of swimmers to proxy for their valuation. Consistent with theoretical predictions, a swimmer’s propensity to engage in conflict increases in scarcity (incentive effect) and decreases in the actor’s valuation (discouragement effect). We complement …

Entrepreneurship In Singapore, Jungho Lee

Research Collection School Of Economics

Singapore has completed its catch-up growth phase and needs to find a new growth engine. Entrepreneurship can contribute to a nation’s productivity growth. The purpose of this chapter is twofold. First, a theoretical framework is presented, along with empirical evidence, to understand government interventions aimed at boosting entrepreneurship. Second, using the framework, the chapter discusses whether Singapore’s current policies are suitable for helping entrepreneurship. The theory demonstrates four reasons why government intervention is needed: (1) resource misallocation, (2) positive externality, (3) entrepreneurial human capital, and (4) tax and default policies. Singapore’s government has implemented various policies that potentially fix market …

Uncertainty And Reputation Effects In Credence Goods Markets, Eric Schniter, J. Dustin Tracy, Vojtěch Zíka

ESI Working Papers

Credence-goods experiments have focused on stylized settings in which experts can perfectly identify the buyer’s best option and that option works without fail. However, in nature, credence goods involve uncertainties that complicate assessing the quality of service and advice. We introduce two sources of uncertainty. The first is diagnostic uncertainty; experts receive a noisy signal of buyer type so might make an ‘honest’ mistake when advising what is in buyers’ best interests. The second is service uncertainty; the services available to the buyers do not always work. Both sources of uncertainty make detection of expert dishonesty more difficult, so are …

Measuring Palatability As A Linear Combination Of Nutrient Levels In Food Items, Jeffrey S. Young

Faculty & Staff Research and Creative Activity

It well known that palatability and nutritional quality of foods and/or diets are viewed as being in tension with one another. While there exist multiple measures of healthiness, there are no such measures for tastiness. This gap limits the degree to which researchers can investigate this tension and its implications for dietary behavior and hence public health and nutrition policy. The scope of future work concerning the dietary behavior of Americans would expand greatly if researchers better understood consumers’ willingness to eat certain foods, which matters as much as recommending those foods for them to eat in the first place. …

The Effects Of Recent Minimum Wage Increases On Self-Reported Health In The United States, Liam Sigaud

Electronic Theses and Dissertations

A sharp income-health gradient exists in the United States. Lower levels of income are associated with higher rates of mortality, morbidity, and risky health behaviors, as well as decreased access to health care. Growing evidence of a causal link between income and health suggests that government income-support policies may be an effective strategy for improving health outcomes among poor Americans. One such policy – the minimum wage – has experienced a surge in popularity in recent years. In 2019, twenty-five states and the District of Columbia increased their minimum wage, up from only eight states in 2011. Yet the literature …

Volatility Coupling, Jean Jacod, Jia Li, Zhipeng Liao

Research Collection School Of Economics

This paper provides a strong approximation, or coupling, theory for spot volatility estimators formed using high-frequency data. We show that the t-statistic process associated with the nonparametric spot volatility estimator can be strongly approximated by a growing-dimensional vector of independent variables defined as functions of Brownian increments. We use this coupling theory to study the uniform inference for the volatility process in an infill asymptotic setting. Specifically, we propose uniform confidence bands for spot volatility, beta, idiosyncratic variance processes, and their nonlinear transforms. The theory is also applied to address an open question concerning the inference of monotone nonsmooth integrated …

Wild Bootstrap For Instrumental Variable Regressions With Weak And Few Clusters, Wenjie Wang, Yichong Zhang

Research Collection School Of Economics

We study the wild bootstrap inference for instrumental variable (quantile) regressions in the framework of a small number of large clusters, in which the number of clusters is viewed as fixed and the number of observations for each cluster diverges to infinity. For subvector inference, we show that the wild bootstrap Wald test with or without using the cluster-robust covariance matrix controls size asymptotically up to a small error as long as the parameters of endogenous variables are strongly identified in at least one of the clusters. We further develop a wild bootstrap Anderson-Rubin (AR) test for full-vector inference and …

Different Strokes For Different Folks: Long Memory And Roughness, Shuping Shi, Jun Yu

SMU Economics and Statistics Working Paper Series

The log realized volatility of financial assets is often modeled as an autoregressive fractionally integrated moving average model (ARFIMA) process, denoted by ARFIMA(p, d, q), with p = 1 and q = 0. Two conflicting results have been found in the literature regarding the dynamics. One stream shows that the data series has a long memory (i.e., the fractional parameter d > 0) with strong mean reversion (i.e., the autoregressive coefficient |α1| ≈ 0). The other stream suggests that the volatil-ity is rough (i.e., d < 0) with highly persistent dynamic (i.e., α1 → 1). To consolidate the findings, this paper first examines the finite sample properties of alternative estimation methods employed in the literature for the ARFIMA(1, d, 0) model and then applies the outperforming techniques to a wide range of financial assets. The candidate methods include two parametric maximum likeli-hood (ML) methods (the maximum time-domain modified profile likelihood (MPL) and maximum frequency-domain likelihood) and two semiparametric methods (the local Whittle method and log periodogram estimation method). The two parametric methods work well across all parameter set-tings, with the MPL method outperforming. In contrast, the two semiparametric methods have a very large upward bias for d and an equally large downward bias for α1 when α1 is close to unity. The poor performance of the semiparametric methods in the presence of a highly persistent dynamic might lead to a false conclusion of long memory. In the empirical applications, we find that the log realized volatilities of exchange rate futures over the past decade have a long memory, where the point estimate of d is between 0.4 and 0.5 and the estimate of α1 is near zero. For other finan-cial assets considered (including stock indices and industry indices), we find that they have rough volatility, with the point estimate of d being negative and the point estimates of α1 close to unity.

Government Expenditure And Economic Dimensions: Determinants Of Fiscal Policy, Jay Pee A. Maalihan

Angelo King Institute for Economic and Business Studies (AKI)

Government expenditure is a known tool of fiscal policy. For a fiscal policy to fit the economic needs of a country, nuances regarding government expenditure such as economic dimensions must be considered as determinants of fiscal policy. This study assessed an econometric model of the significance of economic dimensions to government expenditure by utilizing data from 50 countries throughout 1999–2019. Hence, statistical tests and econometric methods such as fixed effects regression are executed to determine objectives of interest. This study contributes to the economic undertakings of various countries to plan and implement their strategic economic directions.

Data For "Uncertainty And Reputation Effects In Credence Goods Markets", Eric Schniter, J. Dustin Tracy, Vojtěch Zíka

ESI Data Sets

Credence-goods experiments have focused on stylized settings in which experts can perfectly identify the buyer’s best option and that option works without fail. However, in nature credence goods involve uncertainties that complicate assessing the quality of service and advice. We introduce two sources of uncertainty into a credence goods experiment. The first is diagnostic uncertainty; experts receive a noisy signal of buyer type so might make an ‘honest’ mistake when advising what is in buyers’ best interests. The second is service uncertainty; the services available to the buyer do not always work. Both sources of uncertainty make detection of expert …