The book Wavelet analysis in economic applications summarises a five-year research project financed by the Polish Ministry of Science and Higher Education under the grant no. N N111 285135, entitled Wavelet decompositions in economic applications: exploratory analysis, business cycle synchronisation and forecasting. It can serve as a concise and accessible guide to different types of wavelet transformations: the continuous wavelet transform, the decimated and non-decimated discrete wavelet transform as well as the wavelet packet transform. It also covers many original applications of mainly the discrete wavelet methodology like portfolio optimisation, examining comovements and lead-lag relations, transfer function modelling, estimation of stochastic signals and forecasting, offering both a new perspective as well as practical solutions for certain statistical modelling problems in finance, economics and marketing.
Joanna Bruzda is a university professor in the Department of Logistics of Nicolaus Copernicus Univeristy inToruń,Poland. Her research interests cover: forecasting and demand planning, frequency and time-frequency methods, nonlinear time series analysis, resampling methods in econometrics.