Fend For Sudan Unity,
2010
Department of Economics. Al Neelain University, Khartoum, Sudan
Fend For Sudan Unity, Professor Issam A.W. Mohamed
Professor Issam A.W. Mohamed
Sudan is unified as a country by many bonds that are also reasons for it disintegration. From the year 2005 where Nivasha Comprehensive Peace Agreement between the North and South parts, to 2011 the efforts of dividing the country were evident. From 2005, many analysts, tried to warn of the coming consequences of the Southern part secession. There were calls for improvements of the current regime's totalitarianism, open the doors for democracy, sharing people in power and decision making and amending human standards and freedom. However, all calls fell on deaf ears. The Darfur crisis accelerated and the regime clutch …
Energy And Economic Growth: A State-Level Analysis,
2010
George Fox University
Energy And Economic Growth: A State-Level Analysis, Nathanael D. Peach
Faculty Publications - College of Business
No abstract provided.
International Trade, Structural Deformations And Hegemony In Islamic And Arabic Countries,
2010
Department of Economics. Al Neelain University, Khartoum, Sudan
International Trade, Structural Deformations And Hegemony In Islamic And Arabic Countries, Professor Issam A.W. Mohamed, Dr. Mohamed A. Osman
Professor Issam A.W. Mohamed
Contemporary world economic situation seems gloomy with the shadows of recession in many big economies. There attempts to rectify that situation with domestic restructuring and improvements in social parameters. However, it is imperative that holistic approaches should be reviewed whereas part of them are helping developing economies to improve productivity and expand their exports and imports. The books reviews issues of international trade as presented in theories and de facto applications. Historical backgrounds are analyzed to emphasize their impacts on the present situations. Within the parameters discussed are crusades and ensuing colonization. All these foot prints are still engraved in …
State Institutionalization, Governance And Decision Making In Sudan,
2010
Department of Economics. Al Neelain University, Khartoum, Sudan
State Institutionalization, Governance And Decision Making In Sudan, Professor Issam A.W. Mohamed
Professor Issam A.W. Mohamed
The study here presented reviews the institutional structure of the Sudanese government. Truly, though it is stigmatized as totalitarian, the structure is phenotypically perfect. Ministry of Ministries council is supposed to cater for analyzing data concerning ministries performance, drawing strategic planning, executing them through ministries and conduct the follow-ups. Department of decision-making was created and packages for data collection and analyses were improvised. However, all these structures seem skeletal as the final decisions structurally seem to be lost between the Presidency Institution and the executive institutions. An introduced flowing chart indicates that the cycle of all decisions end up at …
The Drivers And Dynamics Of Illicit Financial Flows From India: 1948-2008,
2010
Global Financial Integrity
The Drivers And Dynamics Of Illicit Financial Flows From India: 1948-2008, Dev Kar
Dev Kar
No abstract provided.
Rhode Island Current Conditions Index — November 2010,
2010
University of Rhode Island
Rhode Island Current Conditions Index — November 2010, Leonard Lardaro
The Rhode Island Current Conditions Index
No abstract provided.
Bayesian Analysis Of Structural Credit Risk Models With Microstructure Noises,
2010
Singapore Management University
Bayesian Analysis Of Structural Credit Risk Models With Microstructure Noises, Shirley J. Huang, Jun Yu
Research Collection Lee Kong Chian School Of Business
In this paper a Markov chain Monte Carlo (MCMC) technique is developed for the Bayesian analysis of structural credit risk models with microstructure noises. The technique is based on the general Bayesian approach with posterior computations performed by Gibbs sampling. Simulations from the Markov chain, whose stationary distribution converges to the posterior distribution, enable exact finite sample inferences of model parameters. The exact inferences can easily be extended to latent state variables and any nonlinear transformation of state variables and parameters, facilitating practical credit risk applications. In addition, the comparison of alternative models can be based on devian information criterion …
Banks' Reserves Restrictions And Macroeconomic Parameters Of Sudanese Economy (2007-2009),
2010
Department of Economics. Al Neelain University, Khartoum, Sudan
Banks' Reserves Restrictions And Macroeconomic Parameters Of Sudanese Economy (2007-2009), Professor Issam A.W. Mohamed
Professor Issam A.W. Mohamed
The paper analyzes the impacts of Islamic and conventional Banks reserves' restrictions in Sudan. Comprehensively, those restrictions are necessary for health banks, performance and the viability of the macroeconomic performance in any country. The selected period of the analysis (2007-2009) is vital to study impacts of the Global Financial Crisis on the Sudanese economy. The paper introduces available data on banks institutions, macroeconomic policies and the central Bank of Sudan considering its part on controlling money supply and demand besides drawing policies for banks behaviors. It is conceivable from my conclusions here that there are conflicts between conventional and Islamic …
Men In Black: The Impact Of New Contracts On Football Referees’ Performances,
2010
University of Central Lancashire
Men In Black: The Impact Of New Contracts On Football Referees’ Performances, Babatunde Buraimo, Alex Bryson, Rob Simmons
Dr Babatunde Buraimo
No abstract provided.
New York Camp Econometrics V Program,
2010
Syracuse University
New York Camp Econometrics V Program, Center For Policy Research
Camp Econometrics-Programs
No abstract provided.
Border Metropolitan Water Forecast Accuracy,
2010
University of Texas at El Paso
Border Metropolitan Water Forecast Accuracy, Thomas M. Fullerton Jr., Angel L. Molina Jr.
Border Region Modeling Project
Municipal water consumption planning is an active area of research due to infrastructure construction and maintenance costs, supply constraints, and water quality assurance. In spite of that, relatively few water forecast accuracy assessments have been completed to date, although some internal documentation may exist as part of the proprietary “grey literature.” This study utilizes a data set of previously published municipal consumption forecasts to partially fill that gap in the empirical water economics literature. Previously published municipal water econometric forecasts for three public utilities are examined for predictive accuracy against two random walk benchmarks commonly used in regional analyses. Descriptive …
Smoothing Local-To-Moderate Unit Root Theory,
2010
Singapore Management University
Smoothing Local-To-Moderate Unit Root Theory, Peter C. B. Phillips, Tassos Magdalinos, Liudas Giraitis
Research Collection School Of Economics
A limit theory is established for autoregressive time series that smooths the transition between local and moderate deviations from unity and provides a transitional form that links conventional unit root distributions and the standard normal. Edgeworth expansions of the limit theory are given. These expansions show that the limit theory that holds for values of the autoregressive coefficient that are closer to stationarity than local (i.e. deviations of the form rho = 1 + c/n, where n is the sample size and c < 0) holds up to the second order. Similar expansions around the limiting Cauchy density are provided for the mildly explosive case. (C) 2010 Elsevier B.V. All rights reserved.
Bayesian Hypothesis Testing In Latent Variable Models,
2010
Sun Yat-sen University
Bayesian Hypothesis Testing In Latent Variable Models, Yong Li, Jun Yu
Research Collection School Of Economics
Hypothesis testing using Bayes factors (BFs) is known to suffer from several problems in the context of latent variable models. The first problem is computational. Another problem is that BFs are not well defined under the improper prior. In this paper, a new Bayesian method, based on decision theory and the EM algorithm, is introduced to test a point hypothesis in latent variable models. The new statistic is a by-product of the Bayesian MCMC output and, hence, easy to compute. It is shown that the new statistic is appropriately defined under improper priors because the method employs a continuous loss …
Rhode Island Current Conditions Index — October 2010,
2010
University of Rhode Island
Rhode Island Current Conditions Index — October 2010, Leonard Lardaro
The Rhode Island Current Conditions Index
No abstract provided.
Bias-Corrected Estimation For Spatial Autocorrelation,
2010
Singapore Management University
Bias-Corrected Estimation For Spatial Autocorrelation, Zhenlin Yang
Research Collection School Of Economics
The biasedness issue arising from the maximum likelihood estimation of the spatial autoregressive model (SAR) is further investigated under a broader set-up than that in Bao and Ullah (2007a). A major difficulty in analytically evaluating the expectations of ratios of quadratic forms is overcome by a simple bootstrap procedure. With that, the corrections on bias and variance of the spatial estimator can easily be made up to third-order, and once this is done, the estimators of other model parameters become nearly unbiased. Compared with the analytical approach, the new approach is much simpler, and can easily be extended to other …
Estimating The Garch Diffusion: Simulated Maximum Likelihood In Continuous Time,
2010
University of Bergen
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 …
Bias In Estimating Multivariate And Univariate Diffusions,
2010
Singapore Management University
Bias In Estimating Multivariate And Univariate Diffusions, Xiaohu Wang, Peter C. B. Phillips, Jun Yu
Research Collection School Of Economics
Multivariate continuous time models are now widely used in economics and finance. Empirical applications typically rely on some process of discretization so that the system may be estimated with discrete data. This paper introduces a framework for discretizing linear multivariate continuous time systems that includes the commonly used Euler and trapezoidal approximations as special cases and leads to a general class of estimators for the mean reversion matrix. Asymptotic distributions and bias formulae are obtained for estimates of the mean reversion parameter. Explicit expressions are given for the discretization bias and its relationship to estimation bias in both multivariate and …
Measurement And High Finance,
2010
Singapore Management University
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.
Simulation-Based Estimation Methods For Financial Time Series Models,
2010
Singapore Management University
Simulation-Based Estimation Methods For Financial Time Series Models, Jun Yu
Research Collection School Of Economics
This paper overviews some recent advances on simulatio n-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 …
Asymptotic Distributions Of The Least Squares Estimator For Diffusion Processes,
2010
Singapore Management University
Asymptotic Distributions Of The Least Squares Estimator For Diffusion Processes, Qiankun Zhou, Jun Yu
Research Collection School Of Economics
The asymptotic distributions of the least squares estimator of the mean reversion parameter (κ) are developed in a general class of diffusion models under three sampling schemes, namely, ongspan, in-fill and the combination of long-span and in-fill. The models have an affine structure in the drift function, but allow for nonlinearity in the diffusion function. The limiting distributions are quite different under the alternative sampling schemes. In particular, the in-fill limiting distribution is non-standard and depends on the initial condition and the time span whereas the other two are Gaussian. Moreover, while the other two distributions are discontinuous at κ …
