Econometrics Commons^™

Banking Sector Credit And Economic Growth In Nigeria: An Empirical Investigation, Aniekan O. Akpansung, Sikiru J. Babalola

CBN Journal of Applied Statistics (JAS)

The paper examines the relationship between banking sector credit and economic growth in Nigeria over the period 1970-2008. The causal links between the pairs of variables of interest were established using Granger causality test while a Two-Stage Least Squares (TSLS) estimation technique was used for the regression models. The results of Granger causality test show evidence of unidirectional causal relationship from GDP to private sector credit (PSC) and from industrial production index (IND) to GDP. Estimated regression models indicate that private sector credit impacts positively on economic growth over the period of coverage in this study. However, lending (interest) rate …

Neither The Washington Nor Beijing Consensus: Developmental Models To Fit African Realities And Cultures, Sanusi L. Sanusi

CBN Journal of Applied Statistics (JAS)

No abstract provided.

Banking Reform And Its Impact On The Nigerian Economy, Sanusi L. Sanusi

CBN Journal of Applied Statistics (JAS)

No abstract provided.

Dating The Timeline Of Financial Bubbles During The Subprime Crisis, Peter C. B. Phillips, Jun Yu

Research Collection School Of Economics

A new recursive regression methodology is introduced to analyze the bubble characteristics of various financial time series during the subprime crisis. The methods modify a technique proposed in Phillips, Wu, and Yu (2011) and provide a technology for identifying bubble behavior with consistent dating of their origination and collapse. The tests serve as an early warning diagnostic of bubble activity and a new procedure is introduced for testing bubble migration across markets. Three relevant financial series are investigated, including a financial asset price (a house price index), a commodity price (the crude oil price), and one bond price (the spread …

Testing For Multiple Bubbles, Peter C. B. Phillips, Shu-Ping Shi, Jun Yu

Research Collection School Of Economics

Identifying explosive bubbles that are characterized by periodically collapsing behavior over time has been a major concern in the literature and is of great importance for practitioners. The complexity of the nonlinear structure in multiple bubble phenomena diminishes the discriminatory power of existing tests, as evidenced in early simulations conducted by Evans (1991). Multiple collapsing bubble episodes within the same sample period make bubble diagnosis particularly difficult and complicate attempts at econometric dating. The present paper systematically investigates these issues and develops new procedures for practical implementation and surveillance strategies by central banks. We show how the testing procedure and …

Specification Sensitivities In Right-Tailed Unit Root Testing, Shu-Ping Shi, Peter C. B. Phillips, Jun Yu

Research Collection School Of Economics

Right-tailed unit root tests have proved promising for detecting exuberance in economic and financial activities. Like left-tailed tests, the limit theory and test performance are sensitive to the null hypothesis and the model specification used in parameter estimation. This paper aims to provide some empirical guidelines for the practical implementation of right-tailed unit root tests, focusing on the sup ADF test of Phillips, Wu and Yu (2011), which implements a right-tailed ADF test repeatedly on a sequence of forward sample recursions. We analyze and compare the limit theory of the sup ADF test under different hypotheses and model specifications. The …

Impact Of The Economic Downturn On Local Governments In South Carolina, William Tomes

Georgia Journal of Public Policy

Across the country local government revenues have decreased while operating costs such as fuel, materials, equipment, and health insurance costs have significantly increased. In addition to reduced revenues, interest earnings for city and county government investments are low. These factors combined have created a difficult financial arena in which local governments must operate. While economists are reporting signs of economic recovery, many city and county budgets are just now feeling the full brunt of the economic downturn that began in 2008. On a daily basis, news media nationwide report local governments addressing budget deficits by cutting services, eliminating positions, or …

Corrigendum To "A Gaussian Approach For Continuous Time Models Of The Short Term Interest Rate", Peter C. B. Phillips, Jun Yu

Research Collection School Of Economics

An error is corrected in Yu and Phillips (2001) (Econometrics Journal, 4, 210-224) where a time transformation was used to induce Gaussian disturbances in the discrete time equivalent model. It is shown that the error process in this model is not a martingale and the Dambis, Dubins-Schwarz (DDS) theorem is not directly applicable. However, a detrended error process is a martingale, the DDS theorem is applicable, and the corresponding stopping time correctly induces Gaussianity. We show that the two stopping time sequences differ by O(a2), where a is the pre-specified normalized timing constant.

Explosive Behavior In The 1990s Nasdaq: When Did Exuberance Escalate Asset Values?, Peter C. B. Phillips, Yangru Wu, Jun Yu

Research Collection School Of Economics

A recursive test procedure is suggested that provides a mechanism for testing explosive behavior, date stamping the origination and collapse of economic exuberance, and providing valid confidence intervals for explosive growth rates. The method involves the recursive implementation of a right-side unit root test and a sup test, both of which are easy to use in practical applications, and some new limit theory for mildly explosive processes. The test procedure is shown to have discriminatory power in detecting periodically collapsing bubbles, thereby overcoming a weakness in earlier applications of unit root tests for economic bubbles. An empirical application to the …

Compustate Crisp Database, Anwar Shaikh Phd

Archives of Anwar Shaikh

This collection includes:

• Compustat/CRISP database contact notes by Anwar Shaikh
• Notes on CRISP/Compustat merged database and Wharton Research Data Services (WRDS) by Anwar Shaikh
• Notes on Capital-IQ service and university data subscriptions by Anwar Shaikh

Need Singapore Fear Floating? A Dsge-Var Approach, Hwee Kwan Chow, Paul D. Mcnelis

Research Collection School Of Economics

This paper uses a DSGE-VAR model to examine the managed exchange-rate system at work in Singapore and asks if the country has any reason to fear floating the exchange rate with a Taylor rule inflation-targeting mechanism that uses the short term interest rate instead of the exchange rate as the benchmark monetary policy instrument. Our simulation results show that the use of a more flexible exchange rate system will reduce volatility in inflation and investment but consumption volatility will increase. Overall, there are neither signi…cant welfare gains or losses in the regime shift. Given the highly open and trade …

Estimating The Garch Diffusion: Simulated Maximum Likelihood In Continuous Time, Tore Selland Kleppe, Jun Yu, Hans J. Skaug

Research Collection School Of Economics

A new algorithm is developed to provide a simulated maximum likelihood estimation of the GARCH diffusion model of Nelson (1990) based on return data only. The method combines two accurate approximation procedures, namely, the polynomial expansion of Ait-Sahalia (2008) to approximate the transition probability density of return and volatility, and the Efficient Importance Sampler (EIS) of Richard and Zhang (2007) to integrate out the volatility. The first and second order terms in the polynomial expansion are used to generate a base-line importance density for an EIS algorithm. The higher order terms are included when evaluating the importance weights. Monte Carlo …

Measurement And High Finance, Peter C. B. Phillips, Jun Yu, Eric Ghysels

Research Collection School Of Economics

Turbulence in the world of banking and finance over the last two years has riveted media attention on the financial industry, exposing practices, products and risks in the industry to widespread public scrutiny. Questions continue to be asked about the management and regulation of an industry whose performance is now seen to affect the world’s financial health and its prospects as much as it does national savings and individual retirement funds.

Forex Market Behaviour : Application Of High Frequency Data., Tan Heng Kiat

Student Works (2010-2019)

The huge and high frequency trading in foreign exchange market creates the need for an analytical method that can provide a view on the volatility. Traditional methods such as GARCH are proven to have limitations when applied to high frequency data, such as those generated in foreign exchange market.In this thesis, wavelet method is applied to high frequency data of EURO/USD, GBP/USD and YEN/USD currency pairs and of one minute resolution. The period of this behavioral study is from one hour before 1pm GMT to one hour after 1pm GMT for every Mondays from June 2008 to Dec 2008. The …

A New Stock Index To Better Predict The United States' Real Gdp, William Nette

Honors Projects in Finance

The relationship between the United States’ real GDP and the overall stock market has been acknowledged by researchers and investors alike. This research paper will document a newly created composite index that will try to more accurately predict the overall U.S. economy through the proxy of GDP than the current S&P 500 index. Success will be determined if the composite index representing the addition of a service sector component to the S&P 500 is more correlated to U.S. real GDP than the S&P 500 alone. The results suggest that the service sector is not quite adequately in the S&P 500. …

Simulation-Based Estimation Methods For Financial Time Series Models, Jun Yu

Research Collection School Of Economics

This paper overviews some recent advances on simulation-based methods of estimating time series models and asset pricing models that are widely used in finance. The simulation based methods have proven to be particularly useful when the likelihood function and moments do not have tractable forms and hence the maximum likelihood method (MLE) and the generalized method of moments (GMM) are difficult to use. They can also be useful for improving the finite sample performance of the traditional methods when financial time series are highly persistent and when the quantity of interest is a highly nonlinear function of system parameters. The …

Trusts Versus Corporations: An Empirical Analysis Of Competing Organizational Forms, A. Joseph Warburton

College of Law - Faculty Scholarship

This paper studies the effects of organizational form on managerial behavior and firm performance, from an empirical perspective. Managers of trusts are subject to stricter fiduciary responsibilities than managers of corporations. This paper examines the ramifications empirically, by exploiting data generated by a change in British regulations in the 1990s that allowed mutual funds to organize as either a trust or a corporation. I find evidence that trust law is effective in curtailing opportunistic behavior, as trust managers charge significantly lower fees than their observationally equivalent corporate counterparts. Trust managers also incur lower risk. However, evidence suggests that trust managers …

The Impact Of Monetary Policy Announcements On Stock Market: Evidence From China, Yu Zeng

Dissertations and Theses Collection (Open Access)

In this paper we examine how stock returns in China respond to monetary policy announcements made by PBC in a short term around announcement day. We employ a nonparametric event-study method to investigate such reactions. We arrive at the following conclusions. Firstly, there is information leakage of monetary policy changes, which is verified by significant changes in stock returns before monetary policy announcement and quitness of stock market after announcement. Secondly, financially constrained and financially unconstrained firms respond quite similarly to monetary policy shocks, which disobeys credit channel of monetary policy transmission in the short run. Thirdly, reserve ratio changes …

Bayesian Analysis Of Country Risk Premia In Developing Small Open Economies, Seigmund Vincent Roque Conti

Dissertations and Theses Collection (Open Access)

This thesis studies a model presented by Neumeyer & Perri (2005), which aims to explain the strong countercyclicality of interest rates and net exports in emerging market economies. The model accomplishes this by decomposing interest rates into an international rate and a country risk component, and by making labor demand sensitive to movements in these rates via a working capital constraint imposed on the representative firm. Moreover, it proposes two approaches to determining the stochastic processes for these interest rates: the independent country risk case and the induced country risk case. The induced country risk model calibrated to Argentine data …

Dating The Timeline Of Financial Bubbles During The Subprime Crisis, Peter C. B. Phillips, Jun Yu

Research Collection School Of Economics

A new recursive regression methodology is introduced to analyze the bubble characteristics of various financial time series during the subprime crisis. The methods modify a technique proposed in Phillips, Wu, and Yu (2011) and provide a technology for identifying bubble behavior with consistent dating of their origination and collapse. The tests serve as an early warning diagnostic of bubble activity and a new procedure is introduced for testing bubble migration across markets. Three relevant financial series are investigated, including a financial asset price (a house price index), a commodity price (the crude oil price), and one bond price (the spread …

Explosive Behavior In The 1990s Nasdaq: When Did Exuberance Escalate Asset Values?, Peter C. B. Phillips, Yangru Wu, Jun Yu

Research Collection School Of Economics

A recursive test procedure is suggested that provides a mechanism for testing explosive behavior, date-stamping the origination and collapse of economic exuberance, and providing valid confidence intervals for explosive growth rates. The method involves the recursive implementation of a right-side unit root test and a sup test, both of which are easy to use in practical applications, and some new limit theory for mildly explosive processes. The test procedure is shown to have discriminatory power in detecting periodically collapsing bubbles, thereby overcoming a weakness in earlier applications of unit root tests for economic bubbles. Some asymptotic properties of the Evans …

Simulation-Based Estimation Of Contingent-Claims Prices, Peter C. B. Phillips, Jun Yu

Research Collection School Of Economics

A new methodology is proposed to estimate theoretical prices of financial contingent claims whose values are dependent on some other underlying financial assets. In the literature, the preferred choice of estimator is usually maximum likelihood (ML). ML has strong asymptotic justification but is not necessarily the best method in finite samples. This paper proposes a simulation-based method. When it is used in connection with ML, it can improve the finite-sample performance of the ML estimator while maintaining its good asymptotic properties. The method is implemented and evaluated here in the Black-Scholes option pricing model and in the Vasicek bond and …

Are Credit Unions In Ecuador Achieving Economies Of Scale?, Nick A. Marchio

Economics Honors Projects

This study tests the assertion that membership growth in credit unions is constrained by their unique structural features, such as their non-profit mission and member-based ownership. Although these features enhance inclusiveness, existing theory suggest that they work against efficiency when membership grows too diffuse. To address this issue, this study uses a model that takes into account existing theory on constrained-optimization in credit unions and theory on the adverse effects of diffuse ownership. Using data on 36 public credit unions in Ecuador, the empirical analysis finds evidence that credit unions can achieve economies of scale despite their problematic structural features. …

Discrete Choice Modeling With Nonstationary Panels Applied To Exchange Rate Regime Choice, Sainan Jin

Research Collection School Of Economics

This paper develops a regression limit theory for discrete choice nonstationary panels with large cross section (N) and time series (T) dimensions. Some results emerging from this theory are directly applicable in the wider context of M-estimation. This includes an extension of work by Wooldridge [Wooldridge, J.M., 1994. Estimation and Inference for Dependent Processes. In: Engle, R.F., McFadden, D.L. (Eds.). Handbook of Econometrics, vol. 4, North-Holland, Amsterdam] on the limit theory of local extremum estimators to multi-indexed processes in nonlinear nonstationary panel data models. It is shown that the maximum likelihood (ML) estimator is consistent without an incidental parameters problem …

Using High-Frequency Transaction Data To Estimate The Probability Of Informed Trading, Anthony S. Tay, Christopher Ting, Yiu Kuen Tse, Mitchell Warachka

Research Collection School Of Economics

This paper applies the asymmetric autoregressive conditional duration (AACD) model of Bauwens and Giot (2003) to estimate the probability of informed trading (PIN) using irregularly spaced transaction data. We model trade direction (buy versus sell orders) and the duration between trades jointly. Unlike the Easley, Hvidkjaer, and O'Hara (2002) approach, which uses the aggregate numbers of daily buy and sell orders to estimate PIN, our methodology allows for interactions between consecutive buy-sell orders and accounts for the duration between trades and the volume of trade. We extend the Easley–Hvidkjaer–O'Hara framework by allowing the probabilities of good news and bad news …

Can Parallel Exchange Rates Forecast Commodity Prices?, John F. Roberts

Honors Theses

Commodity price uncertainty imposes large costs on society. On the macro level, it results in sudden and unexpected shifts in current account imbalances and real GDP volatility, while on the micro level, it leads to allocation inefficiencies. Accurate price forecasts have the potential to remove some of this uncertainty and allow for a more efficient distribution of resources, and thus, an increase in social welfare. Despite the obvious gains to be had from accurate commodity price forecasts, few models have been able to deliver these results. Chen, Rogoff and Rossi (2008) were the first to find a promising link between …

Bonds, Stocks Or Dollars? Do Voters Care About Capital Markets In Brazil And Mexico, Tony Petros Spanakos, Lucio Remuzat Renno Jr.

Department of Political Science and Law Faculty Scholarship and Creative Works

How does vote intention in presidential elections vary according to the economic conditions of a country, especially indicators of the financial market? Does the state of the economy, both its fundamentals as well as capital market, affect variation in candidates’ percentage of vote intention in national polls? This paper tests how economic indicators influence vote intention in presidential elections in two emerging markets: Brazil and Mexico. The presidential elections of 1994, 1998, 2002, and 2006 in Brazil and 2000 and 2006 in Mexico are analyzed using all poll returns for each electoral period and corresponding economic data. The paper finds …

Markov Switching Var Model Of Speculative Pressure: An Application To The Asian Financial Crisis, Gregorio Iii Alfredo Vargas

Dissertations and Theses Collection (Open Access)

Markov switching models with time-varying transition probabilities address the limitations of the earlier methods in the early warning system literature on currency crises. Most of the Markov switching models in the literature are largely based on univariate models of exchange rate fluctuations. In this thesis, the components of the index of speculative pressure are modeled using the Markov Switching VAR with time-varying transition probabilities of Martinez Peria (2002). Two approaches, both of which are derived from this model, are taken to determine the probability of a currency crisis: the probability of a turbulent regime and the expected value of the …

Multivariate Garch Models For The Greater China Stock Markets, Xiaojun Song

Dissertations and Theses Collection (Open Access)

This paper reviews the commonly used multivariate GARCH models and uses the daily data of the four Greater China region stock markets, namely Hongkong, Shanghai,Shenzhen, and Singapore, and data of Japan as one ex-ogenous variable to investigate the volatility and shocks spillover behavior and to establish the market linkage among the four markets. We find that the volatility spillover between Shanghai and Shenzhen is obvious and correlation contagion is detected. Conditional variance and conditional correlations are time varying and dynamic which conforms to the arguments in most of the literature. Shanghai and Shenzhen present a very high correlation level during …

Maximum Likelihood And Gaussian Estimation Of Continuous Time Models In Finance, Peter C. B. Phillips, Jun Yu

Research Collection School Of Economics

This paper overviews maximum likelihood and Gaussian methods of estimating continuous time models used in finance. Since the exact likelihood can be constructed only in special cases, much attention has been devoted to the development of methods designed to approximate the likelihood. These approaches range from crude Euler-type approximations and higher order stochastic Taylor series expansions to more complex polynomial-based expansions and infill approximations to the likelihood based on a continuous time data record. The methods are discussed, their properties are outlined and their relative finite sample performance compared in a simulation experiment with the nonlinear CIR diffusion model, which …