Results 261 to 270 of about 87,733 (349)
Deep Learning and Econometric Time Series Analysis: An Assessment of Daily Return Forecasts
ABSTRACT We provide an in‐depth assessment of univariate financial time series analysis via machine learning followed by a thorough discussion beyond the discussion on daily return predictability. We simulate economic time series and present an in‐depth assessment of relevant hyperparameter tuning and study the ability of competing deep learning ...
Theo Berger
wiley +1 more source
Tax Arbitrage with Risk and Effort Aversion - Swedish Lottery Bonds 1970-1990
Kristian Rydqvist
openalex +1 more source
Tick Size, Lot Size, and Liquidity in Futures Trading
ABSTRACT Futures are standardized and heavily regulated contracts, and these features make futures trading possible at liquid secondary markets. However, regulations constrain futures trading at discrete prices and quantities by imposing a minimum tick size and a minimum lot size.
Lars L. Nordén +2 more
wiley +1 more source
The results of this paper show that incorporating ML predictions with a confidence ratio significantly improves profitability, achieving a 258.5% profit and ~60% increase in total balance compared with traditional non‐ML strategies. By leveraging ML algorithms like multilayer perceptron, this approach enhances decision‐making and outperforms competing ...
Kristína Okasová +2 more
wiley +1 more source
Assessing the relevance of sell‐side analyst recommendations
Abstract This paper evaluates the informational value and alpha‐generating potential of sell‐side analyst recommendations. We explore this by employing a monthly portfolio‐sorted long‐short strategy based on consensus analyst recommendations. Our findings indicate that the long‐short equal‐weighted and value‐weighted portfolios yield significant excess
Ekene S. Aguegboh +2 more
wiley +1 more source
Policy and market forces delay real estate price declines on the US coast. [PDF]
McNamara DE +4 more
europepmc +1 more source
This paper proposes a battery‐aided personalised differential privacy framework that generates physically realisable noise through battery operations. The proposed method enables adaptive privacy preservation through bounded noise probability functions with configurable privacy parameters and incorporates time‐of‐use pricing via a mean‐drift mechanism ...
Renjie Luo +3 more
wiley +1 more source
Dynamic characteristics of expectations of short-term interest rate and a generalized Vasicek model. [PDF]
Guan Y, Fang Z, Wang X, Wang X, Yu T.
europepmc +1 more source

