An Empirical Analysis of the Taiwan Institutional Trading Volume Volatility Spillover on Stock Market Index Return

This paper provides interesting empirical evidence on the relation between the volatility impact effect of the Taiwan institutional trading volume and the stock market index by using the MEGARCH model. We found a significant autoregressive coefficient of institutional trading volume and stock market index. The cross-volatility spillover effect, asymmetric leverage effect, and persistence of volatility effect are statistically significant. The feedback and lead-lag relationship between trading volume and stock index return are also statistically significant. Therefore, Taiwan¡¦s institutional trading volume can affect the stock market index through volatility effect and causality.

The Limits to Competition in the Jamaican Urban Bus Service.

In the context of best practice with regards to the market structure and organization of urban public transport over the last 30 years or so would reveal the popularity of a hybrid transport model, that is a model in which the public and the private sector share responsibilities for the delivery of the service. A more careful review would reveal an evolving consensus with respect to the optimal degree and form of government intervention in this hybrid model. We look at the Chilean model, which has had similar experiences to us in a similar time period to see if Jamaican policy makers can enhance our system, the JUTC (Jamaican Urban Transport System) by their experiences.

The analysis of interest rate mean and volatility spillover to the industrial production index and stock markets: The case of China

Empirical results found the parameter estimates for the CCC-MGARCH models display that the short run persistence is positive and significant and the positive and significant ARCH and GARCH term show the ARCH and GARCH effect exist in these models. By concerning the correlations of bank reserve rate and discount rate to industrial production index, the correlation is positive and statistically significant for those variables. It indicated that China monetary policy have a positive impact to industrial production. The parameters estimates for DCC-MGARCH(1.1) model for China monetary policy to industrial production index and stock markets show the short-run persistence is positive significantly and at DCC(1.1) parameters. The sum of the DCC(1.1) parameter is less than one which implies that the model is strictly mean reverting.interest rate variables

Irregular Generic Detection Aided Iterative Downlink SDMA Systems

Abstract—When an iterative-decoding aided system is configured to operate at a near-capacity performance, an excessive complexity may be imposed by the iterative process. In this paper, we propose the novel framework of generic detection, which invokes appropriately amalgamated multiple detectors. Hence the proposed Irregular Generic Detection (IrGD) algorithm may reduce the complexity of iterative detectors. We show in the context of an iterative Down-Link (DL) Space Division Multiple Access (SDMA) system that the proposed IrGD may indeed reduce the complexity of the iterative receiver. The IrGD aided DL-SDMA system detects the appropriate fractions of the received bitstream with the aid of different detectors. This allows us to match the Extrinsic Information Transfer (EXIT) curve of the detector to that of the channel decoder, hence facilitating a near-capacity operation, which reducing the detection complexity by about 28% compared to a powerful near-Maximum-Likelihood (ML) sphere detector benchmark system