1 citations · 1 across the 9 of their papers we have counts for
11 papers
Gated Graph Neural Networks for Learning Hidden Independent Cascade Dynamics
Anubha Goel, Illia Oleksiienko, Mateusz Wilinski +2
Information and infectious diseases spread through social networks, but the spreading probabilities driving them are hard to estimate without per-node activation times. Application…
Topology-Aware Gaussian Graph Repair for Robust Graph Neural Networks
Anubha Goel, Juho Kanniainen
Graph neural networks have achieved strong performance on graph-structured data, but their effectiveness depends heavily on the quality of the observed graph. In real applications,…
Class of topological portfolios: Are they better than classical portfolios?
Anubha Goel, Amita Sharma, Juho Kanniainen
Topological Data Analysis (TDA), an emerging field in investment sciences, harnesses mathematical methods to extract data features based on shape, offering a promising alternative…
A comprehensive review and analysis of different modeling approaches for financial index tracking problem
Vrinda Dhingra, Amita Sharma, Anubha Goel
Index tracking, also known as passive investing, has gained significant traction in financial markets due to its cost-effective and efficient approach to replicating the performanc…
Classifying and Clustering Trading Agents
Mateusz Wilinski, Anubha Goel, Alexandros Iosifidis +1
The rapid development of sophisticated machine learning methods, together with the increased availability of financial data, has the potential to transform financial research, but…
Foundation Time-Series AI Model for Realized Volatility Forecasting
Anubha Goel, Puneet Pasricha, Martin Magris +1
Time series foundation models (FMs) have emerged as a popular paradigm for zero-shot multi-domain forecasting. These models are trained on numerous diverse datasets and claim to be…
Learning hidden cascades via classification
Derrick Gilchrist Edward Manoharan, Anubha Goel, Alexandros Iosifidis +2
The spreading dynamics in social networks are often studied under the assumption that individuals' statuses, whether informed or infected, are fully observable. However, in many re…
Topological Clustering of Agents in Hidden Information Contagions: Application to Financial Markets
Anubha Goel, Henri Hansen, Juho Kanniainen
Building on topological data analysis and expert knowledge, this study introduces a Mapper-based approach to cluster agents based on their tendency to be influenced by information…
Time-Series Foundation AI Model for Value-at-Risk Forecasting
Anubha Goel, Puneet Pasricha, Juho Kanniainen
This study is the first to analyze the performance of a time-series foundation AI model for Value-at-Risk (VaR), which essentially forecasts the left-tail quantiles of returns. Fou…
Sparse Portfolio Selection via Topological Data Analysis based Clustering
Anubha Goel, Damir Filipović, Puneet Pasricha
This paper uses topological data analysis (TDA) tools and introduces a data-driven clustering-based stock selection strategy tailored for sparse portfolio construction. Our asset s…
Sparse Index Tracking via Topological Learning
Anubha Goel, Puneet Pasricha, Juho Kanniainen
In this research, we introduce a novel methodology for the index tracking problem with sparse portfolios by leveraging topological data analysis (TDA). Utilizing persistence homolo…