Results 171 to 180 of about 547,492 (344)

Forecasting With Dynamic Factor Models Estimated by Partial Least Squares

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT Dynamic factor models (DFMs) have found great success in nowcasting and short‐term macroeconomic forecasting when incorporating large sets of predictive information. The factor loadings are typically estimated cross‐sectionally with principal component analysis (PCA) or maximum likelihood (ML), which ignore whether the factors have predictive ...
Samuel Rauhala
wiley   +1 more source

The Role of Coincident Information in Real‐Time Business Cycle Forecasting

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT Official NBER recession dates are announced with substantial delay. Therefore, real‐time forecasters cannot condition on the most recent business cycle states even though recessions and expansions are highly persistent. I study whether real‐time coincident releases can substitute for this missing information. At each monthly forecast origin, I
Visa Kuntze
wiley   +1 more source

Modelling Curriculum Choice at A-level: Why is Business Studies More Popular than Economics? [PDF]

open access: yes
This paper uses A-level Information System (ALIS) data to quantify the determinants of the choice between Economics and Business Studies at A-level.
Michael Barrow, Ray Bachan
core  

Shared drone route scheduling optimization. [PDF]

open access: yesPLoS One
Hong C, Yan Y, Lian Z, Li X.
europepmc   +1 more source

Time Integrals Under the Black–Scholes–Merton and Margrabe Economies

open access: yesJournal of Futures Markets, EarlyView.
ABSTRACT The problem of integrating the Black, Scholes, and Merton (BSM) formula with respect to the time variable is paramount for an economist. Inspired by the real options literature, Shackleton and Wojakowski offer analytic formulae for valuing finite maturity (profit) caps and floors that are contingent on continuous flows following a lognormal ...
José Carlos Dias   +3 more
wiley   +1 more source

Multifactorial Screening for Fine‐Scale Selection of CCS Industrial Clusters and Hubs in Brazil

open access: yesGreenhouse Gases: Science and Technology, EarlyView.
ABSTRACT As Brazil moves toward implementing its decarbonization commitments, carbon capture and storage (CCS) hubs are emerging as a key pathway for large‐scale CO2 abatement in hard‐to‐abate sectors. This paper presents a multifactorial, data‐driven framework to screen and prioritize potential CCS industrial clusters and hubs across Brazilian regions,
Gustavo P. Oliveira   +5 more
wiley   +1 more source

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