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Time-varying neural network for stock return prediction

Wong, Steven Y. K.; Chan, Jennifer S. K.; Azizi, Lamiae; … - In: Intelligent systems in accounting, finance & management 29 (2022) 1, pp. 3-18

Persistent link: https://www.econbiz.de/10013274234

Investing data with machine learning using Python

Gupta, Anish; Gupta, Manish; Chaturvedi, Prateek - In: Strategic system assurance and business analytics, (pp. 1-9). 2020

Persistent link: https://www.econbiz.de/10012240679

Deep learning, predictability, and optimal portfolio returns

Babiak, Mykola; Baruník, Jozef - 2020

Persistent link: https://www.econbiz.de/10012542701

Learning forecast-efficient yield curve factor decompositions with neural networks

Kauffmann, Piero C.; Takada, Hellinton H.; Terada, Ana T.; … - In: Econometrics : open access journal 10 (2022) 2, pp. 1-15

Most factor-based forecasting models for the term structure of interest rates depend on a fixed number of factor loading functions that have to be specified in advance. In this study, we relax this assumption by building a yield curve forecasting model that learns new factor decompositions...

Persistent link: https://www.econbiz.de/10013355189

Forecasting the Prices of Used Cars : A Comparative Analysis of Supervised Learning Algorithms

Milunovich, George; Wu, Lijun; Zhao, Yuanyuan - 2023

model comparison. LightGBM algorithm outperforms the other 14 models acording to both RMSE and MAE criteria, and is the only …

Persistent link: https://www.econbiz.de/10014263003

Demand estimation with machine learning and model combination

Bajari, Patrick L.; Nekipelov, Denis N.; Ryan, Stephen; … - 2015

Persistent link: https://www.econbiz.de/10010496176

Forecasting exchange rates with neural networks : time variation, nonstationarity, and causal models

Reikard, Gordon - In: International economic journal 37 (2023) 2, pp. 202-219

Persistent link: https://www.econbiz.de/10014295003

AI adoption among German firms

Licht, Thomas; Wohlrabe, Klaus - 2024

This paper examines the adoption of Artificial Intelligence (AI) among German firms, leveraging firm-level data from … the ifo Business Survey. We analyze the diffusion of AI across sectors and firm sizes, showing a significant increase in … AI usage from 2023 to 2024, particularly in manufacturing and services. The survey data allows us to explore not only …

Persistent link: https://www.econbiz.de/10015101846

Forecasting of Indian Stock Market Index S&P CNX Nifty 50 Using Artificial Intelligence

Desai, Dr.Jay - 2011

This paper presents a computational approach for predicting the S&P CNX Nifty 50 Index. A neural network based model has been used in predicting the direction of the movement of the closing value trend of the index by predicting the seven day simple moving average value change after seven days....

Persistent link: https://www.econbiz.de/10013125158

Yield spread selection in predicting recession probabilities

Choi, Jaehyuk; Ge, Desheng; Kang, Kyu Ho; Sohn, Sungbin - In: Journal of forecasting 42 (2023) 7, pp. 1772-1785

Persistent link: https://www.econbiz.de/10014432757