|
1. |
Forecasting volatility in commodity markets |
|
Journal of Forecasting,
Volume 14,
Issue 2,
1995,
Page 77-95
Kenneth F. Kroner,
Kevin P. Kneafsey,
Stijn Claessens,
Preview
|
PDF (1272KB)
|
|
摘要:
AbstractThis paper uses recent advances in time‐series modeling to derive long‐horizon forecasts of commodity price volatility which incorporate investors' expectations of volatility. Our results are promising. We compare several different forecasts of commodity price volatility, which we divide into three categories: (1) forecasts using only expectations derived from options prices; (2) forecasts using only time‐series modeling; and (3) forecasts which combine market expectations and time‐series methods. The forecasts in (1) and (2) are used extensively in the literature, while those in (3) are new in this paper. On comparing these different forecasts, we find that our proposed forecasts from category (3) outperform both market expectations forecasts and time‐series forecasts. This result holds both in and out of sample for virtually all commodities c
ISSN:0277-6693
DOI:10.1002/for.3980140202
出版商:John Wiley&Sons, Ltd.
年代:1995
数据来源: WILEY
|
2. |
Forecasting growth with time series models |
|
Journal of Forecasting,
Volume 14,
Issue 2,
1995,
Page 97-105
Daniel Peña,
Preview
|
PDF (484KB)
|
|
摘要:
AbstractThis paper compares the structure of three models for estimating future growth in a time series. It is shown that a regression model gives minimum weight to the last observed growth and maximum weight to the observed growth in the middle of the sample period. A first‐order integrated ARIMA model, or 1(1) model, gives uniform weights to all observed growths. Finally, a second‐order integrated ARIMA model gives maximum weights to the last observed growth and minimum weights to the observed growths at the beginning of the sample period. The forecasting performance of these models is compared using annual output growth rates for seven countr
ISSN:0277-6693
DOI:10.1002/for.3980140203
出版商:John Wiley&Sons, Ltd.
年代:1995
数据来源: WILEY
|
3. |
Testing cumulative prediction errors in event study methodology |
|
Journal of Forecasting,
Volume 14,
Issue 2,
1995,
Page 107-115
J. Andrew Coutts,
Terence C. Mills,
Jennifer Roberts,
Preview
|
PDF (576KB)
|
|
摘要:
AbstractThis paper reconsiders event study methodology, a very popular technique in the applied finance literature, within the context of testing cumulative prediction errors. It extends the conventional test statistics in two directions. First, it accounts fully for the increased variance of prediction errors outside of the estimation period and for the cumulation of these errors across different event windows. Second, it also takes account of the fact that market model residuals are typically serially correlated, heteroscedastic and non‐normal. The statistics are compared with the conventional approach by reassessing a previous application of the methodology to the impact of management buyout
ISSN:0277-6693
DOI:10.1002/for.3980140204
出版商:John Wiley&Sons, Ltd.
年代:1995
数据来源: WILEY
|
4. |
Quarterly forecasts of the italian business cycle by means of monthly economic indicators |
|
Journal of Forecasting,
Volume 14,
Issue 2,
1995,
Page 117-141
G. Parigi,
G. Schlitzer,
Preview
|
PDF (1218KB)
|
|
摘要:
AbstractRecent years have witnessed a growing availability of high‐frequency indicators which can be used to forecast future economic activity. This paper shows how some of the widely known monthly economic indicators at present available in Italy can be used in a systematic and coordinated manner to forecast the main variables of the National Accounts. In order to reduce as much as possible the amount of judgment in the analysis of the business cycle, a model‐based approach is adopted. Thus, a pseudo macro‐econometric model of the Italian economy is built, which can be used to produce forecasts one semester ahead of the last National Accounts data release. The model can be used autonomously as well as in combination with the Bank of Italy's quarterly econometric
ISSN:0277-6693
DOI:10.1002/for.3980140205
出版商:John Wiley&Sons, Ltd.
年代:1995
数据来源: WILEY
|
5. |
Professional economic forecasts: Are they worth their costs? |
|
Journal of Forecasting,
Volume 14,
Issue 2,
1995,
Page 143-157
Gordon Leitch,
J. Ernesttanner,
Preview
|
PDF (1058KB)
|
|
摘要:
AbstractMost economic forecast evaluations dating back20years show that professional forecasters add little to the forecasts generated by the simplest of models. Using various types of forecast error criteria, these evaluations usually conclude that the professional forecasts are little better than the no‐change or ARIM A type forecast. It is our contention that this conclusion is mistaken because the conventional error criteria may not capture why forecasts are ma&or how they are used. Using forecast directional accuracy, the criterion which has been found to be highly correlated with profits in an interest rate setting, we find that professionalGNPforecasts dominate the cheaper alternatives. Moreover, there appears to be no systematic relationship between this preferred criterion and the error measures used in previous studie
ISSN:0277-6693
DOI:10.1002/for.3980140206
出版商:John Wiley&Sons, Ltd.
年代:1995
数据来源: WILEY
|
6. |
Masthead |
|
Journal of Forecasting,
Volume 14,
Issue 2,
1995,
Page -
Preview
|
PDF (88KB)
|
|
ISSN:0277-6693
DOI:10.1002/for.3980140201
出版商:John Wiley&Sons, Ltd.
年代:1995
数据来源: WILEY
|
|