Stock price has been found to provide important information about future economic activities. Fama (1981), Fischer and Merton (1984), and Barro (1990), among many others, document a positive relation between stock market return and subsequent growth in investment and output. These findings are consistent with rational expectations asset pricing models, in which stock price is equal to the sum o...

Applying nonlinear models to estimation and forecasting economic models are now becoming more common, thanks to advances in computing technology. Artificial Neural Networks (ANN) models, which are nonlinear local optimizer models, have proven successful in forecasting economic variables. Most ANN models applied in Economics use the gradient descent method as their learning algorithm. However, t...

BACKGROUND Glucose degradation products (GDP) are an important factor that contribute to bioincompatibility of peritoneal dialysis fluids. These substances are generated in the dialysis fluid during heat sterilization. Several approaches have been proposed to reduce the content or toxicity, or both, of GDP present in the dialysis fluid. We examined whether L-2-oxothiazolidine-4-carboxylic acid ...

Overall, the role of agricultural growth in reducing poverty is likely to be greater than its role in driving economic growth. This is likely to be the case because the share of the labour force that works in the agriculture sector is much larger than the share of economic output that comes from agriculture. For the least-developed countries, the share of the total economically active populatio...

We construct risks around consensus forecasts of real GDP growth, unemployment, and inflation. find that are time-varying, asymmetric, partly predictable. Tight financial conditions forecast downside growth risk, upside unemployment increased uncertainty the inflation forecast. Growth vulnerability arises as conditional mean variance negatively correlated: driven by lower higher when tighten. S...

this study employs a gmdh neural network model, which has high capability in recognition of complicated non-linear trends especially with small samples, for modeling and predicting iranian gdp growth. first a fundamental model containing 7 independent variables together with dependent variable is designed and then by using deductive process and omission of one variable at a time, a total of 18 ...

The paper provides probability estimates of the state of the GDP growth. A regime-switching model defines the probability of the Greek GDP being in boom or recession. Then probit models extract the predictive information of a set of explanatory (economic and financial) variables regarding the state of the GDP growth. A contemporaneous, as well as a lagged, relationship between the explanatory v...

INTRODUCTION The small G-proteins KRas, HRas, and NRas function as GDP–GTP regulated binary switches in many signal transduction pathways that govern cell growth and differentiation. Alternation between the GDP-bound ‘off’ state and the GTP-bound ‘on’ state is controlled by the guanine nucleotide exchange factors (GEFs) SOS1 and SOS2, which catalyze the exchange of GDP for GTP, and by GTPase-ac...

We investigate business cycle dynamics for 26 countries, estimating a set of nonlinear models for real GDP where appropriate. We find a great deal of heterogeneity in the dynamics of real output growth across countries. At the same time, a common feature is the asymmetric response of real GDP to shocks and the tendency for negative real GDP shocks to be less persistent than positive real GDP sh...