Quantile regression is an advanced statistical technique that has gained significant attention in finance due to its ability to estimate conditional quantiles. While linear regression is widely used to model the relationship between two variables, it assumes a linear relationship between the dependent variable and the predictors. However, this assumption may not hold in many …
Unveiling Asymmetric Quantile Regression in Finance Read More »
In today’s fast-paced financial world, businesses require accurate and timely financial forecasting to make informed decisions. Multivariate time series forecasting has become a popular technique in finance to predict future values of multiple variables simultaneously. It is a statistical method that models the behavior of several interdependent variables over time, considering the historical data of …
Using Multivariate Time Series Forecasting with Transformers in Finance Read More »
Introduction Financial forecasting is a critical component of any business’s financial planning. The accuracy of these forecasts is essential for the decision-making process in the financial industry. In recent years, there has been a significant increase in the use of machine learning algorithms to make financial predictions. One such technology is SENet, which is being …
Leveraging SENet for More Accurate Financial Forecasting Read More »
