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Critics of Governor Michael Dukakis have suggested that this year?s $400 million overestimate of tax revenues in Massachusetts casts doubt on his putative managerial skills. In this paper, we carefully examine the entire Dukakis forecasting record. We find that the 1988 experience was "unusual?...
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Robust forecasting of mining sector revenues is key to effective budgeting (and broader fiscal management) in many resource-rich countries. However, this is challenging in practice, given commodity market volatility, the extended lags (and often opaque processes) between resource discoveries and...
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This paper utilises the GAMLSS framework for the statistical modelling of movie box-office revenues. The dominant modelling paradigm of the film industry, traditionally exemplified by the nobody knows principle is based upon the infinite variance of the Pareto distribution. Using GAMLSS we have...
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influenced by profit a lot, accurate forecast of RPU is thus useful for pricing in car-rental industry. Support vector regression … (SVR) is an emerging forecast technique and successfully applied in many domains. The aim of this study is to investigate … the feasibility of SVR in RPU forecast. Because SVR model contains three parameters influencing the forecasting accuracy …
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We investigate the disciplining role of analysts’ revenue forecasts on firms’ discretionary revenues. We analyze quarterly data and find evidence that initiation of analysts’ revenue forecasts reported in IBES is associated with a decrease in the magnitude of discretionary revenues. Our...
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Time series analysis is a crucial tool for predicting how reinsurance revenues will be used. Reinsurance businesses must be aware of the estimated future values of claims in order to minimise the substantial losses brought on by predicted future claims. The potential values of anticipated claims...
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