trol loops to compensate backup roll eccentricity and harmonic hardness variation allows a significant improvement in strip thickness performance. These measures were successfully implemented as an extension to an exist ing two-stand aluminium cold rolling mill. An essential quality characteristic in the cold rolling sector is the minimum thickness deviation that can be achieved at final gauge,...

This paper investigates the relationship between R&D stock and productivity growth, while taking into account the effect of spatial spillovers. We propose a homogeneous dynamic panel data model and three heterogeneous dynamic panel data models to consider the individual effect as well as endogenous. We also distinguish between the estimated long-run and short-run results. Our results indicate t...

In this paper, we use the definition of residual income to develop a framework that decomposes changes in net income into different components. The two components we focus on are the change in net income driven by investment (investment-driven growth), and the change in net income driven by improvements in the productivity of existing assets (productivity-driven growth). Building on the vast li...

The repeatability of rail wheel damage measurements is considered in this study. authors investigated the measurement vertical force dependence on wheel-rolling surface nature and suggested ways to reach higher repeatability. To investigate impact repeatability, results measuring forces with different systems were compared first. Another critical issue was estimating deviation field for measure...

This paper pulls together existing theory and evidence to assess whether international financial liberalization, by improving the functioning of domestic financial markets and banks, accelerates economic growth. The analysis suggests that the answer is “yes.” First, liberalizing restrictions on international portfolio flows tends to enhance stock market liquidity. In turn, enhanced stock market...

for assessment of portfolio performance, it's crucial to adjust the return by the risk which is taken. so it seems undeniable that for measuring the risk-adjusted return of portfolio, we need an appropriate and developed model for risk and asset pricing. fama & french 3 factor model could explain several return anomalies. recent studies show that capital productivity effects on stock retur...

It is widely known that conditional covariances of asset returns change over time. Researchers doing empirical work have adopted many strategies for accommodatingcon-ditional heteroskedasticity. Among the popular strategies are: (a) chopping the available data into short blocks of time and assuming homoskedasticity within the blocks, (b) performing one-sided rolling regressions, in which only d...

The prediction of a stock market direction may serve as an early recommendation system for short-term investors and as an early financial distress warning system for long-term shareholders. In this paper, we propose an empirical study on the Korean and Hong Kong stock market with an integrated machine learning framework that employs Principal Component Analysis (PCA) and Support Vector Machine ...

The cold metal rolling industry needs reliable and accurate models to improve predictions of surface finish and friction and thus increase productivity and improve quality. These models are used in setup programs for schedule optimisation, for on-line control algorithms and to help determine process improvements. In most cold rolling operations, lubricant is used to reduce frictional forces, to...

Steel making is known as a complex manufacturing industrial process. Automation of the process represents a challenge. Empirical mathematical modeling of the process was used to design mill equipment, ensure productivity and service quality. This modeling approach shows many problems associated to complexity and time consumption. Soft computing techniques show significant modeling capabilities ...