75 research outputs found
Temperatura mínima de relva em Santa Maria, RS: climatologia, variabilidade interanual e tendência histórica
The Role of Data Revisions and Disagreement in Professional Forecasts
This paper aims at evaluating individual expectation accuracy of professional forecasters for 57 U.S., European, and German macroeconomic indicators over the period 1999-2010. The empirical analysis shows that initial announcements are partly considerably revised, and that some revisions occur systematically. Taking into account whether announcements are revised systematically and whether economists (assumingly) aim at forecasting the initial release or the latest revision, signi cant differences can be observed with regard to forecasters' expectation errors. In general, forecasters that are (assumingly) aiming to predict the latest revisions of German indicators are able to form better forecasts if these indicators are revised systematically. Though to a lower extent, this relationship is also observable regarding U.S. indicators. Forecasters' disagreement about fundamentals is higher during recessions and when stock markets are volatile
Comparing U.S. and European Market Volatility Responses to Interest Rate Policy Announcements
Response of Stock Markets to Monetary Policy: An Asian Stock Market Perspective
We estimate the response of Asian stock market prices to exogenous monetary policy shocks using a vector error correction model. In our paper, monetary policy transmits to stock market price through three routes: money by itself, exchange rate, and inflation. Our result points to the fact that stock prices increase persistently in response to an exogenous easing monetary policy. Variance deposition results show that, after 10 periods, the forecast error variance of beyond 53% of the Tehran Stock Exchange Price Index (TEPIX) can be explained by exogenous shocks to the US dollar-Iranian rial exchange rate, while this ratio for exogenous shocks to Iranian real gross domestic product was only 17%. We argue that such evidence can be accounted for by an endogenous response of the stock prices to the monetary policy shocks
Effect of Maturity Stages on the Nutritional Content of <i>Hygrophila spinosa</i> and <i>Chenopodium album</i> Leaves
Urbanization has impacted the knowledge and use of traditional leafy vegetables. The present investigation is conducted to understand the importance of edible leaves and the variation in their nutritional content at different stages of maturity. Hygrophila spinosa and Chenopodium album leaves have been selected owing to their economic cost, accessibility, and utilization within the population. A leaf undergoes several physiological and metabolic changes during maturity, which may affect its biochemical content. Hence, the samples have been analyzed for their nutritional composition at distinct stages (I to IV) of maturity based on the length of the leaf post-germination. Results revealed that both samples possessed the highest content of nutrients, including carbohydrates, proteins, minerals, β carotene, and vitamin C at stage 1 compared to the older stages. Alteration in metabolic patterns and environmental influences during various phases may be responsible for this effect. Stage I manifested the notable existence of essential phytonutrients and the diminished presence of potent anti-nutrients. Moreover, a significant percentage of micronutrients are found to be available post in vitro gastrointestinal digestion. The study highlights the importance of consuming young edible leaves. Regular dietary incorporation of the same may lead to alleviation of nutrient deficiency disorders and food insecurity.</jats:p
Ecology of Hippophae salicifolia D. Don of temperate and sub-alpine forests of North Sikkim Himalayas—a case study
Trend‐cycle correlation, drift break and the estimation of trend and cycle in Canadian GDP
Measuring the NAIRU with Reduced Uncertainty: A Multiple-Indicator Common-Cycle Approach
Standard estimates of the NAIRU or natural rate of unemployment are subject to considerable uncertainty. We show in this paper that using multiple indicators to extract an estimated NAIRU cuts in half uncertainty as measured by variance and gives a 33% reduction in the confidence band. The inclusion of an Okun's Law relation is particularly valuable. The essential notion is the existence of a common cyclical force driving the macroeconomic variables. Model comparisons based on the use of Bayes factors favor the idea of a common cyclical component. Copyright by the President and Fellows of Harvard College and the Massachusetts Institute of Technology.
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