Commentary: Predicting mortgage rates is art, not scienceRobert Nusgart
被引量: 0发表: 2023年 Forecasting recovery rates on non-performing loans with machine learning We compare the performance of a wide set of regression techniques and machine-learning algorithms for predicting recovery rates on non-performing loans, us... A Bellotti,D Brigo,P Gambetti,... - 《...
Actual inflation impact on family budgets was more like 30%-35%, especially after considering the sharp rise in interest rates starting March-June 2023 and rise in taxes, neither of which are included in calculations of the government’s price statistics. Households also pay for interest out of...
Using machine learning to predict nosocomial infections and medical accidents in a NICU Article17 January 2023 Early prediction of in-hospital mortality utilizing multivariate predictive modelling of electronic medical records and socio-determinants of health of the first day of hospitalization ArticleOpen a...
market. It will include: the description of the dataset and potential independent variables explaining price changes, the form of the chosen model, forecasts and estimated prediction accuracy measures. We use the prepared R package qape (Wolny-Dominiak & Ża̧dło,2023) to perform the ...
Governments worldwide are facing growing pressure to increase transparency, as citizens demand greater insight into decision-making processes and public spending. An example is the release of open healthcare data to researchers, as healthcare is one of the top economic sectors. Significant information...
Long-term interest ratesRationalityDirectional accuracyBond market efficiencyPrepayment premiumFollowing the implications of term structure theory in an efficient bond market, this study formulates a random walk model that produces unbiased and efficient forecasts of the 30-year mortgage rate for 1987鈥 ...