Financial Integration between Indonesia and Its Major Trading Partners

This study examines stock market integration among the emerging stock market of Indonesia and its major trading partners (Japan, the US, Singapore and China). We employ the newly proposed autoregressive distributed lag (ARDL) approach to cointegration and recent weekly stock market data spanning from July 1998 to December 2007. The results indicate the Indonesian stock market is cointegrated with the stock markets of the US, Japan, Singapore and China. Thus, this implies that the opportunities for international investors to gain benefits from international portfolio diversification in those markets are limited. In addition, any development in Japan, the US, Singapore and China markets should be considered by the Indonesian government in making policies regarding to the stock market of Indonesia.Stock Market Integration; Portfolio Diversification; Trading Partners

Fungsi Ball Teritlak Nisbah Untuk Lengkung Interpolasi Cembung Dan Berekanada [QA603. S193 2008 f rb].

Tesis ini membincangkan skema interpolasi lengkung yang berasaskan fungsi asas Ball teritlak (Said-Ball) untuk menampakkan data saintifik. Skema menggunakan fungsi nisbah cebis demi cebis Ball teritlak dengan pengangka kuartik dan penyebut linear, yang melibatkan dua parameter bentuk. This thesis discusses a curve interpolation scheme based on the generalized Ball basis functions (Said-Ball) to visualize the scientific data. The scheme uses piecewise generalized Ball functions with quartic numerator and linear denominator involving two shape parameters

INTEGRATION OF STOCK MARKETS BETWEEN INDONESIA AND ITS MAJOR TRADING PARTNERS

Using Autoregressive Distributed Lag (ARDL) and Vector Autoregressive (VAR) frameworks, this study examines the integration between the emerging stock market of Indonesia and its major trading partners (i.e., Japan, the U.S., Singapore, and China). During the period of July 1998 to December 2007, the Indonesian stock market is found to be integrated with its major trading partners. Thus, this implies that there is a limited room available for investors to gain risk-reduction benefits through diversifying their portfolio in those markets. Meanwhile, in the short run, the Indonesian market responds more to shocks in the U.S. and Singapore than in Japan and China. In designing policies pertaining to its stock market, the Indonesian government should take into account any development in the stock markets of its major trading partners, particularly the U.S. and Singaporean markets

Heat simulation via scilab programming

This paper discussed the used of an open source sofware called Scilab to develop a heat simulator. In this paper, heat equation was used to simulate heat behavior in an object. The simulator was developed using finite difference method. Numerical experiment output show that Scilab can produce a good heat behavior simulation with marvellous visual output with only developing simple computer code

Financial Integration between Indonesia and Its Major Trading Partners

This study examines stock market integration among the emerging stock market of Indonesia and its major trading partners (Japan, the US, Singapore and China). We employ the newly proposed autoregressive distributed lag (ARDL) approach to cointegration and recent weekly stock market data spanning from July 1998 to December 2007. The results indicate the Indonesian stock market is cointegrated with the stock markets of the US, Japan, Singapore and China. Thus, this implies that the opportunities for international investors to gain benefits from international portfolio diversification in those markets are limited. In addition, any development in Japan, the US, Singapore and China markets should be considered by the Indonesian government in making policies regarding to the stock market of Indonesia

Shape Preserving Interpolation Using C

This paper discusses the construction of new C2 rational cubic spline interpolant with cubic numerator and quadratic denominator. The idea has been extended to shape preserving interpolation for positive data using the constructed rational cubic spline interpolation. The rational cubic spline has three parameters αi, βi, and γi. The sufficient conditions for the positivity are derived on one parameter γi while the other two parameters αi and βi are free parameters that can be used to change the final shape of the resulting interpolating curves. This will enable the user to produce many varieties of the positive interpolating curves. Cubic spline interpolation with C2 continuity is not able to preserve the shape of the positive data. Notably our scheme is easy to use and does not require knots insertion and C2 continuity can be achieved by solving tridiagonal systems of linear equations for the unknown first derivatives di, i=1,…,n-1. Comparisons with existing schemes also have been done in detail. From all presented numerical results the new C2 rational cubic spline gives very smooth interpolating curves compared to some established rational cubic schemes. An error analysis when the function to be interpolated is ft∈C3t0,tn is also investigated in detail

Symmetric Bernstein Polynomial Approach for the System of Volterra Integral Equations on Arbitrary Interval and Its Convergence Analysis

In this paper, a new numerical technique is introduced to find the solution of the system of Volterra integral equations based on symmetric Bernstein polynomials. The use of Bernstein polynomials to find the numerical solutions of differential and integral equations increased due to its fast convergence. Here, the numerical solution of the system of Volterra integral equations on any finite interval [m, n] is obtained by replacing the unknown functions with the generalized Bernstein basis functions. The proposed technique converts the given system of equations into the system of algebraic equations which can be solved by using any standard rule. Further, Hyers–Ulam stability criteria are used to check the stability of the given technique. The comparison between exact and numerical solution for the distinct nodes is demonstrated to show its fast convergence

Semi Non-Standard Trimean Algorithm for Rosenzweig-MacArthur Interaction Model

Most real world natural systems are shows seasonal behaviour due to seasonal environmental or climate change. As a results, many species display seasonal changes in their life history parameters. It is crucial to comprehend how the seasonal forcing controls the behaviour of the population dynamics. The Rosenzweig-MacArthur model is a system with at least two ordinary differential equations used in population dynamics to model the interaction of predator and prey bonding. Rosenzweig-MacArthur model overcome the weakness of Lotka-Volterra model to simulate interaction between two species. In Rosenzweig-MacArthur model, logistic growth rate of prey is resource limited. The model utilizes Holling type II as the functional response representation. The purpose of the study is to construct method to improve simulation on the behaviour of interactions between species and predicting equilibrium point accurately and fast. Current methods seem to predict accurately the equilibrium point if only small mesh size used. Using small mesh size will require long simulation time to predict the equilibrium point. Able to increase the mesh size will increase the speed of predicting the equilibrium point. In this paper, we propose three new semi non-standard trimean algorithms to simulate the behaviour of interaction between species represented by Rosenzweig-MacArthur model. The new algorithms apply a hybrid of semi non-standard approach and trimean to approximate the nonlinear terms in the differential equation model. Two cases of experiment conducted to examine the performance of all three semi non-standard schemes. Result shows that all three new semi non-standards schemes accurately predict the equilibrium point (0.25, 0.46875) even using big mesh size ( and ) for both cases. Thus, all three semi non-standard schemes fulfil the purpose of this study