Finance Strategists on MSN

What to Know About the Methods and Applications of Financial Forecasting

Explore financial forecasting's importance in strategic decision-making, its methods, modern techniques, applications, and ...
Forbes

Inside The Evolving World Of AI And Predictive Insights: Exploring Time Series Analysis

Artificial intelligence (AI) technologies are currently revolutionizing industries and enabling automation on a scale we've never seen before. Of course, none of this is possible without data. These ...
Nature

Emergency Department Demand Forecasting Using Machine Learning and Time Series Analysis

Recent advances in forecasting demand within emergency departments (EDs) have been bolstered by the integration of machine learning and time series analytical techniques. The objective of these ...
JSTOR Daily

Hybrid quantile regression estimation for time series models with conditional heteroscedasticity

Journal of the Royal Statistical Society. Series B (Statistical Methodology), Vol. 80, No. 5 (2018), pp. 975-993 (19 pages) Estimating conditional quantiles of financial time series is essential for ...
insider.si.edu

Time series analysis / James D. Hamilton

1. Difference Equations -- 2. Lag Operators -- 3. Stationary ARMA Processes -- 4. Forecasting -- 5. Maximum Likelihood Estimation -- 6. Spectral Analysis -- 7 ...
Kellogg School of Management

Practical Regression: Time Series and Autocorrelation

This is the twelfth in a series of lecture notes which, if tied together into a textbook, might be entitled “Practical Regression.” The purpose of the notes is to supplement the theoretical content of ...
The BMJ

Greenness and hospital admissions for cause specific mental disorders: multicountry time series study

Objectives To examine the association between exposure to greenness and hospital admissions for mental disorders, and to ...