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This article presents Log-Periodic Power Law and considers its usefulness as a forecasting tool on the financial markets. One of the estimation methods of this function was presented and six models were built, based on time series of the DJIA and the WIG20. Estimated models were utilized to predict crashes of those indices. The variations between the actual values of analyzed indices observed in the...
Selected econometric methods of modelling the world’s population size based on historical data are presented in the paper. Periodical variables were used in the models proposed in the paper. Moreover, a logistic-type function was used in modelling. The purpose of the paper was to obtain a model describing the world’s population with the lowest possible maximal relative error and possibly the longest...
In videogames industry, time series analysis can be very useful in determining the general evolution and behaviour of the market dynamics. These methods are applicable to any time series forecasting problem, regardless of the application sector. This article discusses time series approaches to forecast the sales of console games for the Italian market. In particular two univariate techniques were...
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