Combination of Forecasts in the International Context: Predicting Debt Reschedulings

Briance Mascarenhas, Ole Christian Sand

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


International business is characterized by high uncertainty, making accurate forecasting both important and difficult. Development in forecasting methodology are examined in the prediction of international debt reschedulings. Three basic forecasting approaches are evaluated: single method forecasts, raw data combination forecasts, and forecast-combinations. All three approaches exhibited significant improvement in prediction accuracy over a naive forecasting approach, but only the odds-matrix forecast-combination approach outperformed another non-native approach. The odds-matrix forecast-combination method is less sensitive to data sparsity and unreliability and has the potential to synthesize, effectively and in a theoretically based way, diverse perspectives in the international context.

Original languageEnglish (US)
Pages (from-to)539-552
Number of pages14
JournalJournal of International Business Studies
Issue number3
StatePublished - Sep 1 1989
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Business and International Management
  • Business, Management and Accounting(all)
  • Economics and Econometrics
  • Strategy and Management
  • Management of Technology and Innovation


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