Yes. This study produces evidence that monetary policy transparency and communication policy of the Bank of England have information content in reducing disagreement about interest rate forecasts. Different from most extant studies employing the transparency index derived from official documents of the central banks, this study extends the literature by using a recently developed market-based monetary transparency index. Moreover, this study analyzes forecast disagreement in a multivariate perspective based on survey data of short-and long-term rates over short and long horizons. This study characterizes several patterns on forecast disagreement related to maturities of interest rates, forecast horizons, recessions, forward guidance, credibility, transparency, and communication policy. Interestingly, disagreement among the Monetary Policy Committee in policy rate decisions is associated with lower disagreement among professional forecasters on interest rate outlook, whereas neither announcement of changes in policy rates nor publication of inflation reports affects forecast disagreement. These results have important implications for monetary policymakers in managing market expectations of interest rates.
Background:The purpose of the research was to study activities and deportments of Physical Health affecting self-sufficient aging in Thailand. The research emphasizes physical health factors by the use of surveys and statistics and the data are recorded and can in turn be used to for self-sufficient aging.Methods:The samples in this research consisted of 807 individuals from Bangkok, Thailand. The data were analyzed in order to find the mean, standard deviation, the Pearson product moment correlation coefficient. Factors affecting the preparation of self-sufficient aging in Bangkok, Thailand were with a level of statistically significance at 0.01. The correlation of the Physical Health Factor was estimated.Results:It was found that the Physical Health Factors had a positive and significant Correlation Coefficient. The suitable factor from each Physical Health Predictive Measurement was with a coefficient of determination. The Physical Health Factor was field tested in Bangkok.Conclusion:It was found that the actual Physical Health of the samples was not significantly different from the predicted weight obtained from the measurement score for current levels of Physical Health. Physical Health Factors are composed of 13 factors; both quantitative (AGE, Body mass index, Nutrition behavior, Exercise period time, Smoke behavior, Drinking behavior Alcohol-Week, Work hour- per day, Sleep period time, Holiday period time, Family History disease, Ability to do daily routine) and qualitative (Health Satisfaction and Health Awareness).
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