Philip Hans Franses

[3] After graduation he started his academic career with a post-doc position as a Research Affiliate of the Royal Netherlands Academy of Arts and Sciences.

Franses' research interests are in the field of the "development of new models that enable more accurate forecasts with a specific focus on seasonal time series and marketing metrics.

The last few decades have witnessed an increasing interest in both theoretical and empirical developments in constructing time series models and in their important application in forecasting."

The Cambridge catalogue summarized, that "the early parts of the book focus on the typical features of time series data in business and economics.

"[9] Franses' most familiar work is Nonlinear Time Series Models in Empirical Finance, published in 1998, and co-authored by his former PhD student Dick van Dijk.

Important examples of those features are the occasional presence of (sequences of) aberrant observations and the plausible existence of regimes within which returns and volatility display different dynamic behaviour.

Financial theory does not provide many motivations for nonlinear models, but we believe that the data themselves are quite informative..."[10]In "Econometric methods with applications in business and economics" (2004) Christiaan Heij et al. stated, that "nowadays applied work in business and economics requires a solid understanding of econometric methods to support decision-making.

"[11] This textbook takes a learning by doing approach, and "covers basic econometric methods (statistics, simple and multiple regression, nonlinear regression, maximum likelihood, and generalized method of moments), and addresses the creative process of model building with due attention to diagnostic testing and model improvement.