One can analyze and forecast the inflationary potential in the Puerto Rican economy using the “P* model.” Given the nature of the monetary sector in Puerto Rico (PR), the model is put into the context of variables from the mainland United States (US). The results indicate a long-run...

Prior research found that people’s assessments of relative competence predicted the outcome of Senate and Congressional races. We hypothesized that snap judgments of "facial competence" would provide useful forecasts of the popular vote in presidential primaries before the candidates become...

The extinction of polar bears by the end of the 21st century has been predicted and calls have been made to list them as a threatened species under the U.S. Endangered Species Act. The decision on whether or not to list rests upon forecasts of what will happen to the bears over the 21st Century....

Ideally, presidential elections should be decided based on how the candidates would handle issues facing the country. If so, knowledge about the voters’ perception of the candidates should help to forecast election outcomes. We make two forecasts of the winner of the popular vote in the U.S....

How useful are probabilistic forecasts of the outcomes of particular situations? Potentially, they contain more information than unequivocal forecasts and, as they allow a more realistic representation of the relative likelihood of different outcomes, they might be more accurate and therefore...

Forecasting is an important tool for management, planning and administration in various fields. In this paper forecasting performance of different methods is considered using time series data of Pakistan's export to United Sates and money supply. It is found that, like other studies of this...

Traditional groups meetings are an inefficient and ineffective method for making forecasts and decisions. We compare two structured alternatives to traditional meetings: the Delphi technique and prediction markets. Delphi is relatively simple and cheap to implement and has been adopted for...

A scenario is a policy analysis tool that describes a possible set of future conditions. The most useful scenarios (for corporations, for policy decision makers) are those that display the conditions of important variables over time. In this approach, the quantitative underpinning enriches the...

The paper develops an algorithm for making long-term (up to three months ahead) predictions of volatility reversals based on long memory properties of financial time series. The approach for computing fractal dimension using sequence of the minimal covers with decreasing scale is used to...

Speculators exert more and more influence on prices on world exchange markets. Often the result of this is a formation of so-called “bubbles” with subsequent shocks to national and global economy. The purpose of speculators is earnings in a relatively short period of time using the...