Purpose—knowing in advance vineyard yield is a critical success factor so growers and winemakers can achieve the best balance between vegetative reproductive growth. It also essential for planning regulatory purposes at regional level. Estimation errors are mainly due to high inter-annual spatial variability inadequate or poor performance sampling methods; therefore, improved applied methodolog...

If returns are not predictable, dividend growth must be predictable, to generate the observed variation in divided yields. I find that the absence of dividend growth predictability gives stronger evidence than does the presence of return predictability. Long-horizon return forecasts give the same strong evidence. These tests exploit the negative correlation of return forecasts with dividend-yie...

In the area of agricultural field, the accurate forecasting of the yield and their estimation from the raw data are playing the important role in the planning of various aspects of agricultural production. In this paper an attempt has been made to estimate flower yield which helps in providing the knowledge so that it creates the base for flower marketing and its management. The main aim of thi...

Recent studies appear to have found evidence that information not reflected in the yield curve helps predict interest rates and excess bond returns. These studies reject the Markov property of the yield curve and conclude that there is unspanned or hidden information that should be used in forecasting. We revisit the evidence of these papers using novel econometric techniques that address the d...

The dynamic Nelson-Siegel-style models, which are popular in the literature of interest rates term structure forecasting, may be unstable because of the potential existence of unit roots in the parameter series. In this paper, the dynamic Nelson-Siegel-style models are modified by modelling the first-order differenced instead of original parameter series. Empirical study shows that the modified...