Time series analysis of daily stock data and building predictive models are complicated. This paper presents a comparative study for stock price prediction using three different methods, namely autoregressive integrated moving average, artificial neural network, and stochastic process-geometric...

Multifractal processes reproduce some of the stylised features observed in financial time series, namely heavy tails found in asset returns distributions, and long-memory found in volatility. Multifractal scaling cannot be assumed, it should be established; however, this is not a straightforward...

The stock-flow consistent (SFC) modeling approach, grounded in the pioneering work of Wynne Godley and James Tobin in the 1970s, has been adopted by a growing number of researchers in macroeconomics, especially after the publication of Godley and Lavoie (2007), which provided a general framework...