Results 61 to 70 of about 319,246 (248)

Testing conformance of a deterministic implementation against a non-deterministic stream X-machine [PDF]

open access: yes, 2004
Stream X-machines are a formalisation of extended finite state machines that have been used to specify systems. One of the great benefits of using stream X-machines, for the purpose of specification, is the associated test generation technique which ...
Harman, M, Hierons, RM
core   +4 more sources

Modelling Seasonality An Extension of the HEGY Approach in the Presence of Two Structural Breaks [PDF]

open access: yes
In this paper the HEGY testing procedure (Hylleberg et al. 1990) of analyzing seasonal unit roots is tried to be re-examined by allowing for seasonal mean shifts with exogenous break points. Using some Monte Carlo experiments the distribution of the HEGY
Ozlem Tasseven
core  

Artificial intelligence and liquidation: Reality, destiny and fantasy

open access: yesInternational Insolvency Review, EarlyView.
Abstract Artificial intelligence (AI) is increasingly reshaping the administration of corporate liquidation. Beyond its established role in financial prediction and data analytics, AI is now assisting insolvency practitioners in identifying the onset of financial distress, managing creditor communications, tracing and valuing assets and enhancing ...
Kai Zhang, Jingchen Zhao
wiley   +1 more source

Seasonality in revisions of macroeconomic data [PDF]

open access: yes
We analyze five vintages of eighteen quarterly macroeconomic variables for the Netherlands and we focus on the degree of deterministic seasonality in these series. We document that the data show most such deterministic seasonality for their first release
Franses, Ph.H.B.F., Segers, R.
core  

The Relationship Among Climate Policy Uncertainty and Energy Markets: Fossil Versus Renewable and Low‐Carbon Assets

open access: yesInternational Journal of Finance &Economics, EarlyView.
ABSTRACT This paper investigates the intricate relationship between climate policy uncertainty (CPU) and energy market dynamics, focusing on fossil‐based and renewable/low‐carbon energy assets. Utilising a comprehensive dataset spanning from April 1987 to December 2023, comprising monthly observations of CPU, stock market returns, spot oil prices and ...
Dimitrios Asteriou, Anastasia Dimiski
wiley   +1 more source

Building Approvals as a Leading Indicator of Property Sector Investment

open access: yesThe International Journal of Banking and Finance, 2012
Overall, building approvals for new houses (BANHs) are viewed by most economic analysts/commentators as a leading indicator of property investment due to the importance of this sector to the whole economy and employment.
Harry M Karamujic
doaj  

DIRECT 1.0: a diffusion-based generative model for dense sea surface temperature reconstructions from sparse satellite observations [PDF]

open access: yesGeoscientific Model Development
Satellite sea surface temperature (SST) observations are frequently obscured by cloud cover, creating large gaps that must be reconstructed for many oceanographic and climate applications.
G. Rovšček   +5 more
doaj   +1 more source

Are Deterministic Descriptions And Indeterministic Descriptions Observationally Equivalent? [PDF]

open access: yes, 2009
The central question of this paper is: are deterministic and indeterministic descriptions observationally equivalent in the sense that they give the same predictions?
Werndl, Charlotte, Charlotte Werndl
core   +1 more source

Striking a Bargain: Narrative Identification of Wage Bargaining Shocks

open access: yesJournal of Applied Econometrics, EarlyView.
ABSTRACT Wage markup shocks, an important driver of business cycles, are hard to pin down. We quantify the importance of exogenous variation in wage bargaining power, one source of those shocks, from German minimum wage introduction episodes and strikes. This disciplines the impulse responses of unemployment and output, and sharpens inference for other
Žymantas Budrys   +2 more
wiley   +1 more source

Price Forecasting for the Balancing Energy Market Using Machine-Learning Regression

open access: yesEnergies, 2020
The importance of price forecasting has gained attention over the last few years, with the growth of aggregators and the general opening of the European electricity markets.
Alexandre Lucas   +3 more
doaj   +1 more source

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