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20132025
most citedTime Series Forecasting Using Manifold Learning

30 citations · 59 across the 8 of their papers we have counts for

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5 papers · 1 filter

q-fin.ST2025

The Shape of Markets: Machine learning modeling and Prediction Using 2-Manifold Geometries

Panagiotis G. Papaioannou, Athanassios N. Yannacopoulos

We introduce a Geometry Informed Model for financial forecasting by embedding high dimensional market data onto constant curvature 2manifolds. Guided by the uniformization theorem,…

q-fin.ST2017★ 1 cited

Using nonlinear stochastic and deterministic (chaotic tools) to test the EMH of two Electricity Markets the case of Italy and Greece

George P Papaioannou, Christos Dikaiakos, Anargyros Dramountanis +2

Utilization of non-linear tools to characterize the state of development of the electricity markets in Italy and Greece. This is equivalent to testing the Efficient Market Hypothes…

q-fin.ST2017

Dynamic Conditional Correlation between Electricity and Stock markets during the Financial Crisis in Greece

Panagiotis G. Papaioannou, George P. Papaioannou, Kostas Siettos +2

Liberalization of electricity markets has increasingly created the need for understanding the volatility and correlation structure between electricity and financial markets. This w…

q-fin.ST2016

S&P500 Forecasting and Trading using Convolution Analysis of Major Asset Classes

Panagiotis Papaioannou, Thomas Dionysopoulos, Dietmar Janetzko +1

By monitoring the time evolution of the most liquid Futures contracts traded globally as acquired using the Bloomberg API from 03 January 2000 until 15 December 2014 we were able t…

q-fin.ST2014★ 1 cited

Modeling the stylized facts of wholesale system marginal price (SMP) and the impacts of regulatory reforms on the Greek Electricity Market

G. Papaioannou, P. Papaioannou, N. Parliaris

This work presents the results of an empirical research with the target of modeling the stylized facts of the daily expost System Marginal Price (SMP) of the Greek wholesale electr…