This paper aims to test the adaptive market hypothesis in the two main Vietnamese stock exchanges, namely Ho Chi Minh City Stock Exchange (HSX) and Hanoi Stock Exchange (HNX), by measuring the relationship between current stock returns and historical stock returns. In particular, the tests...

It is well-known that stock prices fluctuate far more than dividends. Traditional valuation methods are not able to depict this fact. In this paper we incorporate excess volatility into a simple DCF model by considering an autoregressive cash flows process with random coefficients. We show that...

A large literature on persistence finds that many modern outcomes strongly reflect characteristics of the same places in the distant past. These studies typically combine unusually high t statistics with severe spatial autocorrelation in residuals, suggesting that some findings may be artefacts...

The present article links business takeovers to the literature on serial autocorrelation of growth rates. The aim of the study is to identify the effects of successions on the performance of small German firms by analysing the growth pathways over a period of eight years after business takeover....

Three methods reported in the literature are subject to comparative analysis in the present paper: 1. Classic method [1,5]; 2. Merce E., Merce C.C. Method[2,3]; 3. Merce E., at al Method[4]; It is shown that in the case of the first two methods mentioned above, the attempts to distribute...

This article explores the fitting of Autoregressive (AR) and Threshold AR (TAR) models with a non-Gaussian error structure. This is motivated by the problem of finding a possible probabilistic model for the realized volatility. A Gamma random error is proposed to cater for the non-negativity of...

This study explored the nature of fiscal and monetary policy coordination and its impact on long-run sustainability in Kenya. The study employed annual time series data from 1963 to 2014. Two objectives were investigated. (i) The determinants ofmonetary and fiscal policy rules under different...

We examine the impact of dynamic hedging demand of German option and discount certificate markets on the autocorrelation of German stock price changes. We theoretically model the demand of liquidity providers in the discount certificate market, a structured financial product with a concave...

In this paper, we apply machine learning to forecast the conditional variance of long-term stock returns measured in excess of different benchmarks, considering the short- and long-term interest rate, the earnings-by-price ratio, and the inflation rate. In particular, we apply in a two-step...

Three methods reported in the literature are subject to comparative analysis in the present paper: 1. Classic method [1,5]; 2. Merce E., Merce C.C. Method[2,3]; 3. Merce E., at al Method[4]; It is shown that in the case of the first two methods mentioned above, the attempts to distribute...

The authors point out that autocorrelation is an accidental statistical phenomenon. The cause of the occurrence of collinearity is the incomplete data base and that ideally, the elimination of the occurrence of autocorrelation is achieved by knowing the effect stage for all possible combinations...

We consider the fractional cointegrated vector autoregressive (CVAR) model of Johansen and Nielsen (2012a) and make two distinct contributions. First, in their con- sistency proof, Johansen and Nielsen (2012a) imposed moment conditions on the errors that depend on the parameter space, such that...

The growth of firms has been shown to have a meaningful impact on the health of firms and the economy in general. As the body of literature dedicated to understanding high-growth firms has expanded, an interest in the persistence of growth has become even more relevant. This is because...

Present paper proposes an autoregressive time series model to study the behaviour of merger and acquire concept which is equally important as other available theories like structural break, detrending etc. The main motivation behind newly proposed merged autoregressive (M-AR) model is to study...