Abdol S. Soofi

Verified

Abdol verified their affiliation via an institutional email.

Learn more

Verified

Abdol verified their affiliation via an institutional email.

Learn more

• Ph.D
• Emeritus Professor at University of Wisconsin–Platteville

The Chairman of the State Planning Commission of the PRC, in1955, attributed the economic problems countering the development of socialist economy to "The anarchy of capitalist economy. " However, after three decades of central planning, the President of the Chinese Academy of Social Sciences exclaimed, "Today we are all recognizing the irrationali...

The signing of the “Iran Threat Reduction and Syria Human Rights Act of 2012” by President Barak Obama on August 17, 2012 resulted in a massive depreciation of the Iranian currency, the rial, by December 2012. The news of new sanctions on the petroleum and financial sectors of the Iranian economy was taken as a “Sudden Stop” in capital inflow into...

The network analysis of a technological system combines the interindustry transactions with a matrix of sectoral innovative efforts as measured by R&D investment intensity. The matrixes of interindustry transactions of R&D-embodied products (innovations) are weighted matrixes where the interindustry flows measure the intensity of the innovation dif...

This chapter discusses the role of the state in economic development in general and emphasizes the pivotal role of the state in rapid industrialization by adopting the appropriate industrial policy. In the way of providing specific policy recommendations, the chapter reviews the methods and outcomes of the industrial policies of South Korea and mai...

During the last three decades, the institutional transformation in Iran has brought about major changes in the technological orientation of the country, from a mere purchaser of foreign machinery and equipment to a country that strives to be an innovator in the emerging technologies. This introductory chapter begins with a discussion of the promine...

The book presents an overview of the organizations, policies, conducts, and performances of those government organizations with the task of developing the traditional as well as emerging technologies in Iran. In short, the book would be a collection of chapters that allows us to gain an understanding of the organization, stipulated policies, their...

This paper argues that for rapid technological catch-up of latecomer economies industrial policy, active control, and guidance of the market by the state are required. In this framework, the paper compares science and technology, as well as industrial policymaking mechanisms of China and Iran. The similarity of recent histories of the countries, wh...

This paper critically reviews Chinese companies’ foreign direct investment practices of recent years. Using case studies involving overseas Greenfield as well as merger and acquisition of Chinese enterprises we aim to draw lessons from these experiences. However, because of increasing importance of outbound acquisitions by Chinese companies, the pa...

This paper critically reviews Chinese companies’ foreign direct investment practices of recent years. Using case studies involving overseas Greenfield as well as merger and acquisition (M&A) of Chinese enterprises, we aim to draw lessons from these experiences. However, because of increasing importance of outbound acquisitions by Chinese companies,...

This book primarily deals with corporate restructuring through mergers and acquisitions (M&As) . It critically examines all functions that must be performed in completing an M&A transaction. Domestic and cross-border M&A’s are very similar in many respects even though differences between them also exist. To include discussions of the issues which a...

The traditional financial econometric studies presume the underlying data generating processes (DGP) of the time series observations to be linear and stochastic. These assumptions were taken face value for a long time; however, recent advances in dynamical systems theory and algorithms have enabled researchers to observe complicated dynamics of tim...

We use univariate and multivariate singular spectrum analyses to predict the inflation rate as well as changes in the direction of inflation time series for the United States. We use consumer price indices and real-time chain-weighted GDP price index series in these prediction exercises. Moreover, we compare our out-of-sample, $h$-step-ahead moving...

Over the last two decades Iran has gone through major industrial transformation, in spite of major obstacles in the path of the country's development. This comprehensive book examines the Iranian government's mobilization of resources to develop science and technology, presenting an overview of the structure, dynamics, and outcomes of the governmen...

A comparative study of Iran with other countries shows that Iran has a set of unique features. Accordingly, understanding the developmental processes of science and technology in Iran requires informed insights into the historical, geographical, cultural, political, and social characteristics of the country.

It is well known by now that innovation plays a pivotal role in sustained economic growth and a high standard of living. In spite of this important insight, the first-generation economic growth models (Solow 1956) treated technical change as an exogenous variable, that is, the model did not explain how technology affects the economic growth of an e...

In this research, we have designed and implemented the Strategy Map and Balanced Scorecard technique in evaluating the progress of National Iranian Nanotechnology Initiative (NINI). In conducting this research, we have learned that the layers of Strategy Map are congruent with the National Innovation System (NIS) levels. The use of Strategy Map and...

In this paper, we test for causal relationship between China's stock markets by using returns and a measure of volatility for the Shanghai Composite index, the Shenzhen Composite Subindex, and the Hong Kong Hang Seng Index. We also show that the stock index series are nonstationary and that cointegrating vectors and error correction models do not e...

We perform out-of-sample prediction on both fixed and black market Chinese renminbi/US dollar, and black market rial/US dollar exchange rates by using the time-delay embedding technique and the local linear prediction method. We also predict an artificially generated chaotic time series with and without noise for the purpose of validation of the me...

Purpose – This study seeks to explore the nature of a data-generating process for four dollar exchange rates. Design/methodology/approach – Using a discrete parametric modeling approach, an efficient test statistic was computed for nonlinearity in terms of variance of the residuals of the linear and nonlinear autoregressive models by Akaike Informa...

We use the Singular Spectrum Analysis (SSA), a forecasting method which is based on the noise reduction procedure, in prediction of the Iranian gross domestic product (GDP). Two different approaches are considered in forecasting the series. In the first approach, we apply SSA to the aggregate GDP series. In the second approach, we predict the GDP b...

This is a quantitative study of Iranian techno-economic system at the disaggregated industry level. We measure interindustry technology diffusion in the manufacturing sector of Iranian economy in the framework of the Iranian interindustry transactions table and R\&D-embodied product flows among the industries. Moreover, we used network analysis to...

The methodologies and assumptions in financial integration studies are problematic and may lead to spurious empirical results. Using surrogate data analysis and mutual prediction method of testing for nonlinear in-terdependence, it is feasible for an analyst, with a scant knowledge of the underlying dynamics of two dynamical systems, to show whethe...

This paper uses univariate and multivariate singular spectrum analysis for predicting the value and the direction of changes in the daily pound/dollar exchange rate. In prediction of daily pound/dollar rate, we use the rescaled and bootstrapped daily euro/dollar rate as a guidepost for the singular spectrum analysis method. We use the random walk m...

In this paper, we consider the concept of casual relationship between two time series based on the singular spectrum analysis. We introduce several criteria which characterize this causality. The criteria are based on the forecasting accuracy and the predictability of the direction of change. The performance of the proposed tests is examined using...

In this research, we use the concepts of “national technology policy” as well as the “firm technology strategy” in defining a new definition for “national technology strategy”. Then, by examining several national technology strategies in a variety of fields in different countries the national nanotechnology strategy for Iran is developed. Furthermo...

Purpose This paper aims to critically examine China's exchange rate policy debate and discuss Chinese financial and capital control reform of recent years. Furthermore, using the empirical results based on a regional general equilibrium model, alternative methods are suggested of addressing American concerns about China's role in contributing towar...

This study measures the degree of financial integration between Egypt, Jordan, Lebanon, Tunisia, and Turkey on the one hand and the United States and United Kingdom on the other hand. Using cointegration, error correction, and Granger causality tests I find that only the Turkish equity market is cointegrated with both S&P and FTSE stock markets. I...

We collect data from 29 separate papers estimating the equilibrium level and possible undervaluation of the Chinese currency, the renminbi. These papers yield a total of 97 individual observations on misalignment, which we analyse with the help of meta-analysis. We find that the vast majority of observations point to renminbi undervaluation in rece...

In this paper, we use the plug-in and Whittle methods that are based on spectral regression analysis to test for the long memory property in 12 Asian/dollar daily exchange rates. The results according to the plug-in method show that with the exception of Chinese renminbi all series may have long memory properties. The results based on the Whittle m...

We use Asian International Input–Output Tables 1995 in measuring trade dependencies of 10 Pacific Rim economies within a regional general equilibrium model. We develop two sets of metrics in measuring the trade dependencies of the economies. First, we use final demand elasticity of exports in measuring the sensitivities of the economies in the mode...

We use the theory of nonlinear dynamical systems to measure the complexity of currency markets by estimating the correlation dimension of the returns of the Dollar/Pound and Dollar/Yen daily exchange rates (the spot rates). We test the significance of the re-sults by comparing them to correlation dimension estimates for surrogate time series, i.e....

The development of theory of autoregressive fractionally integrated moving average (ARFIMA) process has enabled empirical researchers to observe strong temporal dependence in many financial and economic time series. Time series with a strong temporal dependence are called long-range-dependent or long-memory series which implies that observations of...

Two series, German mark/US dollar exchange rate and US consumer price index time series, are tested to illustrate if noise reduction could help to improve prediction. Three nonlinear noise reduction methods, local projective (LP), singular value decomposition (SVD) and simple nonlinear filtering (SNL), are used to generate the filtered time series....

Modelling and Forecasting Financial Data brings together a coherent and accessible set of chapters on recent research results on this topic. To make such methods readily useful in practice, the contributors to this volume have agreed to make available to readers upon request all computer programs used to implement the methods discussed in their res...

We perform out-of-sample prediction on both fixed and black market Chinese renminbi/ US dollar, and black market rial/ US dollar exchange rates using the time-delay embedding technique and the local linear prediction method. We also predict an artificially generated chaotic time series with and without noise for the purpose of validation of the met...

Two series, German mark/US dollar exchange rate and US consumer price index, are tested to illustrate if nonlinear noise reduction could help to improve prediction. Three nonlinear noise reduction methods, local projective (LP), singular value decomposition (SVD) and simple nonlinear filtering (SNL), are used to generate the filtered time series. D...

We perform out-of-sample predictions on daily Peseta–Dollar spot exchange rates using a simple nonlinear deterministic technique of local linear predictor. We compared our predictions with those by two simple benchmark predictors: random walk model and mean-value predictor. The results on the differenced time series indicate that our predictions ar...

We perform out-of-sample predictions on several dollar exchange rate returns by using time-delay embedding techniques and a local linear predictor. We compared our predictions with those by a mean value predictor. Some of our predictions of the exchange rate returns outperform the predictions of the same series by the mean value predictor. However,...

This paper contributes empirically to our understanding of informed traders. It analyzes traders' characteristics in a foreign exchange electronic limit order market via anonymous trader identities. We use six indicators of informed trading in a cross-sectional multivariate approach to identify traders with high price impact. More information is co...

Using input-output tables as well as a number of indices, this paper attempts to ascertain the degree of similarity of the structures of production of Japan, the Republic of Korea and the United States. The results indicate that Japanese and Korean economies are more similar than Japanese and U.S. or Korean and U.S. economies. There are two possibl...

This paper presents the results of a recent survey conducted to determine the continuing educational needs assessment of selected firms in the state of Wisconsin and adjoining states. Three hypotheses were formulated and empirically tested. Based on the results of the analyses, there was ample evidence that there exists a strong demand on the part...

One objective of this paper is to estimate the parameters p, d, q of an auto-regressive fractionally integrated moving average ARFIMA(p,d,q) stochastic model by minimizing the squares of the residuals using a Bayesian global optimization techniques. We consider bilinear model, too because it is the simple extension of linear model, defined by addin...

The structures of production of three African nations, Egypt, Morocco and Zambia, are compared. Input-output economics is used for this purpose and two measures of variation for interindustry transactions are developed: an index of concentration for sectoral transactions and an entropy-based measure of dispersion for interindustry transactions. The...

A suggested methodology to measure import leakage magnitude from an economy within the framework of an input-output transactions table, which does not distinguish between domestic and imported inputs, is the paper's objective. The model estimated import leakages due to increased government spending using an Iranian input-output table for 1973-74. D...

Spectral regression analyses, using both the Geweke, Porter-Hudak (GPH) and Hurvich and Deo (HD) methods are applied to detect the long-range depen - dence in Gulf States' foreign exchange markets. The estimators based on the OPH method indicate that the Balirain Dinar/ Pound, the Oman Rial (both for Euro and Pound), and the Qatar Riyal/Euro fall i...