Transforming Asset Management with GenAI:
Synthetic Data for Smarter Investments
Data Scientists from ETS Factory are using GenAI for generating high quality synthetic financial data driving smarter investment strategies. https://t.co/iBiGxe3xAs #AIinAssetManagement
AI in Asset Management: 3 Real Use Cases
1, ML algorithm for short-term market prediction. 2, GenAI model for generating synthetic financial series. 3, AI Models for creating personalized portfolios at scale. The 3 cases explained during the Quant Intelligence for Investments DAY
🚀Exciting News: New website, same pioneering spirit! With 35+ years in finance, we're back with a fresh look and a deep AI focus. Explore now! https://t.co/6BgzCAhT9i
#QuantFinance#AIinFinance
https://t.co/aiXEYtzqhO
Learn about the new Forward-Forward algorithm to train neural networks without backpropagation by Alejandro Pérez Sanjuan #DataScience#Finance#AssetManagement
https://t.co/Waudy0dJlK
Explore the diversification benefits of conglomerate stocks and why they can be valuable additions to a stock portfolio by Konstantinos Pappas #finance#DataScience#assetmanagement
https://t.co/8n6bDbkHlz
What are the principal connections in the Forex Market? Which currencies are interrelated? Let's cluster them! by Ana Porras Garrido #Finance#assetmanagement#DataScience
https://t.co/bgIMcH1o6O
Take advantage of the effect in the stock prices based on the behavior of the prices during financial statements publication dates by Jesús González Martínez #DataScience#AssetManagement#Finance
https://t.co/YekzNZH6ka
If you found the expression of Frongello-adjusted attribution factors quite nasty, don't worry! I am here to give you the best approximation by Clara Díaz-Pinés Cort #dataScience#finance#assetmanagement
https://t.co/30jTTHvUgO
There is a myth that investors have to choose either Value or Growth, but considering both strategies as complementary rather than adversaries can be very beneficial for investors by Gonzalo Sainz Ponce #DataScience#assetManagement#finance
https://t.co/UE80Q9uec9
We have new sets of financial time series grouped by categories. Is there any financial series that is an outlier? by Beatriz Visitación Martín #DataScience#assetmanagement#Finance
https://t.co/3uVdlhjuK2
Aggregating financial rankings using a weighted average, optimized for a defined measure, using genetic algorithms by Alfredo Timermans Pastor #DataScience#Finance#AssetManagement
https://t.co/mcPcNPo9Qm
In finance what to do with risk? The answer will be different each time, but we propose a framework for orienting the process of finding an adequate response by Juan Martínez de la Pedraja #Finance#DataScience#assetmanagement
https://t.co/QqZd9PEgdY
Financial data is special. Find what are some common pitfalls when applying machine learning to financial time series by Alejandro Pérez Sanjuán #DataScience#assetmanagement#Finance
https://t.co/XxDaGi62Xd
Which are the Greeks of the options?. How to profit from companies with many short positions? Differences between gamma squeeze and short squeeze by Uxía Taboada Nieto #DataScience#AssetManagement#Finance
In this post, we examine the impact of the EURUSD in both hedged and unhedged investors during the last year and explain their divergences by Ana Porras Garrido #DataScience#assetmanagement#Finance
https://t.co/GfJrWvuIGk
What are Generative Adversarial Networks? How do they work? What are they used for? A brief introduction to the GAN basics by Miguel Ángel Hoyo Abascal #DataScience#assetmanagement#Finance
https://t.co/lQbkNEPVeO
There is an easy way to compute the risk contribution of each asset of a portfolio - in terms of volatility. Maths are the solution! by Tania Fuertes Martín #DataScience#AssetManagement#Finance
https://t.co/iJi13WZFyN
In this post we will have a brief look at some of the main causes that led to the origins of Bayesian statistics by Javier Cárdenas Serre #DataScience#Assetmanagement#Finance
https://t.co/7iokpc3MWI