Intraday Periodicity Adjustments Of Transaction Duration And Their Effects On High-Frequency Volatility Estimation,
2014
Singapore Management University
Intraday Periodicity Adjustments Of Transaction Duration And Their Effects On High-Frequency Volatility Estimation, Yiu Kuen Tse, Yingjie Dong
Research Collection School Of Economics
We study two methods of adjusting for intraday periodicity of high-frequency financial data: the well-known Duration Adjustment (DA) method and the recently proposed Time Transformation (TT) method (Wu (2012)). We examine the effects of these adjustments on the estimation of intraday volatility using the Autoregressive Conditional Duration-Integrated Conditional Variance (ACD-ICV) method of Tse and Yang (2012). We find that daily volatility estimates are not sensitive to intraday periodicity adjustment. However, intraday volatility is found to have a weaker U-shaped volatility smile and a biased trough if intraday periodicity adjustment is not applied. In addition, adjustment taking account of trades with …
Asymptotic Distribution And Finite-Sample Bias Correction Of Qml Estimators For Spatial Dependence Model,
2014
Singapore Management University
Asymptotic Distribution And Finite-Sample Bias Correction Of Qml Estimators For Spatial Dependence Model, Shew Fan Liu, Zhenlin Yang
Research Collection School Of Economics
In studying the asymptotic and finite-sample properties of quasi-maximum likelihood (QML) estimators for the spatial linear regression models, much attention has been paid to the spatial lag dependence (SLD) model; little has been given to its companion, the spatial error dependence (SED) model. In particular, the effect of spatial dependence on the convergence rate of the QML estimators has not been formally studied, and methods for correcting finite-sample bias of the QML estimators have not been given. This paper fills in these gaps. Of the two, bias correction is particularly important to the application of this model. Contrary to the …
Initial-Condition Free Estimation Of Fixed Effects Dynamic Panel Data Models,
2014
Singapore Management University
Initial-Condition Free Estimation Of Fixed Effects Dynamic Panel Data Models, Zhenlin Yang
Research Collection School Of Economics
It is well known that (quasi) MLE of dynamic panel data (DPD) models with short panels depends on the assumptions on the initial values; ignoring them or a wrong treatment of them will result in inconsistency or serious bias. This paper introduces a initial-condition free method for estimating the fixed-effects DPD models, through as simple modification of the quasi-score. An outer-product-of-gradients (OPG) method is also proposed for robust inference. The MLE of Hsiao, Pesaran and Tahmiscioglu (2002, Journal of Econometrics), where the initial observations are modeled, is extended to quasi MLE and an OPG method is proposed for robust inference. …
Modified Qml Estimation Of Spatial Autoregressive Models With Unknown Heteroskedasticity And Nonnormality,
2014
Singapore Management University
Modified Qml Estimation Of Spatial Autoregressive Models With Unknown Heteroskedasticity And Nonnormality, Shew Fan Liu, Zhenlin Yang
Research Collection School Of Economics
In the presence of heteroskedasticity, Lin and Lee (2010) show that the quasi maximum likelihood (QML) estimators of spatial autoregressive models (SAR) can be inconsistent as a ‘necessary’ condition for consistency can be violated, and thus propose robust GMM estimators for the model. In this paper, we first show that this condition may hold in many practical situations and when it does the regular QML estimators can be consistent.In cases where this condition is violated, we propose a modified QML estimation method robust against heteroskedasticity of unknown form. In both cases, asymptotic distributions of the estimators are derived, and methods …
Testing Conditional Independence Via Empirical Likelihood,
2014
Singapore Management University
Testing Conditional Independence Via Empirical Likelihood, Liangjun Su, Halbert White
Research Collection School Of Economics
We construct two classes of smoothed empirical likelihood ratio tests for the conditional independence hypothesis by writing the null hypothesis as an infinite collection of conditional moment restrictions indexed by a nuisance parameter. One class is based on the CDF; another is based on smoother functions. We show that the test statistics are asymptotically normal under the null hypothesis and a sequence of Pitman local alternatives. We also show that the tests possess an asymptotic optimality property in terms of average power. Simulations suggest that the tests are well behaved in finite samples. Applications to some economic and financial time …
Study On The Newbuilding Price Mechanism Of Capesize Bulkcarrier Based On The Econometric Theory,
2014
World Maritime University
Study On The Newbuilding Price Mechanism Of Capesize Bulkcarrier Based On The Econometric Theory, Yue Lei
World Maritime University Dissertations
No abstract provided.
Determinants Of Traffic Fatalities In The U.S.,
2014
Minnesota State University, Mankato
Determinants Of Traffic Fatalities In The U.S., Hanna Stapleton
Journal of Undergraduate Research at Minnesota State University, Mankato
This paper investigates the determinants of motor vehicle fatalities in each of the 50 states in the U.S., along with the District of Columbia. Using a panel data set from 1994 to 2005, we analyze how the factors, such as safety belt laws, speed control, alcohol usage, fine, driving conditions and annual vehicle-miles of travel (VMT), affect the incidence of traffic fatalities. Econometric models are developed and the estimates are obtained from a general-to-specific specification search based upon all the diagnostic tests in order to increase the probability of selecting models which are statistically reliable. The empirical results show that …
Willingness-To-Pay For Renewable Wind Energy: Differences In Preferences Between Demographic Groups,
2014
Colby College
Willingness-To-Pay For Renewable Wind Energy: Differences In Preferences Between Demographic Groups, Carlton D. Reed, William H. Scott
Journal of Environmental and Resource Economics at Colby
Many surveys have shown that public acceptance of wind energy is high in general; however there always seems to be concerns at the local level during the siting and permitting process. This shows that people understand that clean wind energy is an essential need, however people do not normally want to have turbines in their own community. This choice experiment determines which benefits people prefer and which trade-offs people are willing to make in order to host a wind farm in their community. The effectiveness of several attributes, and their respective ability to rid apathy and concerns about local wind …
Individuals Willingness To Pay For Health And Wellness In The Built Environment,
2014
colby college
Individuals Willingness To Pay For Health And Wellness In The Built Environment, Max Pollinger
Journal of Environmental and Resource Economics at Colby
Improving biological sustainability through health and wellness improvements in the built environment is currently being applied to high-end real estate development in both the residential and commercial environment in the United States. However, the market for health and wellness extends well beyond the top income bracket. This study adopts a choice experiment (CE) approach to investigate individual’s willingness to pay (WTP) for health and wellness improvements within their homes. The results suggest that individuals value health as an inelastic good independent of income, and they are willing to pay significant premiums to ensure biological sustainability within their homes independent of …
Rhode Island Current Conditions Index -- August 2014,
2014
University of Rhode Island
Rhode Island Current Conditions Index -- August 2014, Leonard Lardaro
The Rhode Island Current Conditions Index
No abstract provided.
Monetary-Fiscal Policy Interaction: An Empirical Analysis In Egypt,
2014
The British University in Egypt (BUE)
Monetary-Fiscal Policy Interaction: An Empirical Analysis In Egypt, Sahar M. Abdel-Haleim, Mohamed Hassan, Lobna M. Abdel-Latif
Business Administration
This paper examines the effect of the developments introduced since 2003 in Egypt on the nature of interaction of monetary and fiscal policies and the achievement of macroeconomic objectives. Utilizing the Structural Vector Autoregression (SVAR) approach, the dynamic interaction of policies and their effects on macroeconomic aggregates are investigated. The findings support the success of the developments in eliminating the fiscal dominance. However, coordination between policies is still weak to achieve the macroeconomic stabilization objectives. The results also prove the conventional Keynesian effect of fiscal policy on real GDP. However, the fiscal multiplier is very small. Likewise, expansionary monetary policy …
Identifying Latent Structures In Panel Data,
2014
Singapore Management University
Identifying Latent Structures In Panel Data, Liangjun Su, Zhentao Shi, Peter C. B. Phillips
Research Collection School Of Economics
This paper provides a novel mechanism for identifying and estimating latent group structures in panel data using penalized regression techniques. We focus on linear models where the slope parameters are heterogeneous across groups but homogenous within a group and the group membership is unknown. Two approaches are considered — penalized least squares (PLS) for models without endogenous regressors, and penalized GMM (PGMM) for models with endogeneity. In both cases we develop a new variant of Lasso called classifier-Lasso (C-Lasso) that serves to shrink individual coefficients to the unknown group-specific coefficients. C-Lasso achieves simultaneous classification and consistent estimation in a single …
Unit Roots In Life: A Graduate Student Story,
2014
Singapore Management University
Unit Roots In Life: A Graduate Student Story, Peter C. B. Phillips
Research Collection School Of Economics
What follows is a graduate student story. It draws on the first part of the speech I gave that evening at the NZESG conference dinner. It mixes personal reflections with recollections of the extraordinary New Zealanders who shaped my thinking as a graduate student and beginning researcher-people who have had an enduring impact on my work and career as an econometrician. The story traces out these human initial conditions and unit roots that figure in my early life of teaching and research.
Econometric Analysis Of Continuous Time Models: A Survey Of Peter Phillips' Work And Some New Results,
2014
Singapore Management University
Econometric Analysis Of Continuous Time Models: A Survey Of Peter Phillips' Work And Some New Results, Jun Yu
Research Collection School Of Economics
Econometric analysis of continuous time models has drawn the attention of Peter Phillips for 40 years, resulting in many important publications by him. In these publications he has dealt with a wide range of continuous time models and the associated econometric problems. He has investigated problems from univariate equations to systems of equations, from asymptotic theory to finite sample issues, from parametric models to nonparametric models, from identification problems to estimation and inference problems, from stationary models to nonstationary and nearly nonstationary models. This paper provides an overview of Peter Phillips' contributions in the continuous time econometrics literature. We review …
Robustify Financial Time Series Forecasting With Bagging,
2014
Singapore Management University
Robustify Financial Time Series Forecasting With Bagging, Sainan Jin, Liangjun Su, Aman Ullah
Research Collection School Of Economics
In this paper we propose a revised version of (bagging) bootstrap aggregating as a forecast combination method for the out-of-sample forecasts in time series models. The revised version explicitly takes into account the dependence in time series data and can be used to justify the validity of bagging in the reduction of mean squared forecast error when compared with the unbagged forecasts. Monte Carlo simulations show that the new method works quite well and outperforms the traditional one-step-ahead linear forecast as well as the nonparametric forecast in general, especially when the in-sample estimation period is small. We also find that …
Specification Test For Panel Data Models With Interactive Fixed Effects,
2014
Singapore Management University
Specification Test For Panel Data Models With Interactive Fixed Effects, Liangjun Su, Sainan Jin, Yonghui Zhang
Research Collection School Of Economics
In this paper, we propose a consistent nonparametric test for linearity in a large dimensional panel data model with interactive fixed effects. Both lagged dependent variables and conditional heteroskedasticity of unknown form are allowed in the model. We estimate the model under the null hypothesis of linearity to obtain the restricted residuals which are then used to construct the test statistic. We show that after being appropriately centered and standardized, the test statistic is asymptotically normally distributed under both the null hypothesis and a sequence of Pitman local alternatives by using the concept of conditional strong mixing that was recently …
Minimum Investment Requirements, Financial Market Globalization, And Symmetry Breaking,
2014
Singapore Management University
Minimum Investment Requirements, Financial Market Globalization, And Symmetry Breaking, Haiping Zhang
Research Collection School Of Economics
We incorporate wealth heterogeneity and the minimum investment requirements in the model of Matsuyama (2004, Econometrica) and provide a complete characterization of symmetry breaking. In particular, we identify the extensive margin of investment as a key channel through which the interest rate may respond positively to capital accumulation, or equivalently, the interest rate can be higher in the rich than in the poor countries. Then, financial market globalization may lead to “uphill” capital flows from the poor to the rich countries, which widens the initial cross-country income gap and leads to income divergence among inherently identical countries, a phenomenon that …
Shrinkage Estimation Of Regression Models With Multiple Structural Changes,
2014
Shanghai Jiaotong University
Shrinkage Estimation Of Regression Models With Multiple Structural Changes, Junhui Qian, Liangjun Su
Research Collection School Of Economics
In this paper we consider the problem of determining the number of structural changes in multiple linear regression models via group fused Lasso (least absolute shrinkage and selection operator). We show that with probability tending to one our method can correctly determine the unknown number of breaks and the estimated break dates are sufficiently close to the true break dates. We obtain estimates of the regression coefficients via post Lasso and establish the asymptotic distributions of the estimates of both break ratios and regression coefficients. We also propose and validate a data-driven method to determine the tuning parameter. Monte Carlo …
Jackknife Model Averaging For Quantile Regressions,
2014
Hong Kong University of Science and Technology
Jackknife Model Averaging For Quantile Regressions, Xun Lu, Liangjun Su
Research Collection School Of Economics
In this paper, we consider the problem of frequentist model averaging for quantile regression (QR) when all the M models under investigation are potentially misspecified and the number of parameters in some or all models is diverging with the sample size n. To allow for the dependence between the error terms and the regressors in the QR models, we propose a jackknife model averaging (JMA) estimator which selects the weights by minimizing a leave-one-out cross-validation criterion function and demonstrate that the jackknife selected weight vector is asymptotically optimal in terms of minimizing the out-of-sample final prediction error among the given …
A Combined Approach To The Inference Of Conditional Factor Models,
2014
Temple University
A Combined Approach To The Inference Of Conditional Factor Models, Yan Li, Liangjun Su, Yuewu Xu
Research Collection School Of Economics
This paper develops a new methodology for estimating and testing conditional factor models in finance. We propose a two-stage procedure that naturally unifies the two existing approaches in the finance literature -- the parametric approach and the nonparametric approach. Our combined approach possesses important advantages over both methods. Using our two-stage combined estimator, we derive new test statistics for investigating key hypotheses in the context of conditional factor models. Our tests can be performed on a single asset or jointly across multiple assets. We further propose a novel test to directly check whether the parametric model used in our first …
