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LARCH, Leverage and Long Memory [PDF]

open access: yes, 2003
We consider the long memory and leverage properties of a model for the conditional variance of an observable stationary sequence, where the conditional variance is the square of an inhomogeneous linear combination of past values of the observable ...
Donatas Surgailis   +3 more
core   +3 more sources

Contributions of naturalistic parent-child conversations to children’s science learning during informal learning at an aquarium and at home

open access: yesFrontiers in Psychology, 2022
This study examined the naturalistic conversations of 62 parent-child dyads during informal learning at an aquarium and with a subsample at home. Children (Mage = 69.8 months) with their parents were observed and audio recorded while exploring an ...
Grace Ocular   +6 more
doaj   +1 more source

Does volatility in cryptocurrencies drive the interconnectedness between the cryptocurrencies market? Insights from wavelets

open access: yesCogent Economics & Finance, 2022
We present a multi-scale and time-frequency analysis of the degree of integration and the lead-lag relationship between six cryptocurrencies (i.e., Bitcoin, Bitcoincash, Ethereum, Litecoin, Ripple, and Tether) and the cryptocurrency-implied volatility ...
Samuel Kwaku Agyei   +6 more
doaj   +1 more source

Time series aggregation, disaggregation and long memory

open access: yesLietuvos Matematikos Rinkinys, 2023
Large-scale aggregation and its inverse, disaggregation, problems are important in many fields of studies like macroeconomics, astronomy, hydrology and sociology.
Dmitrij Celov, Remigijus Leipus
doaj   +1 more source

Nonfractional Long-Range Dependence: Long Memory, Antipersistence, and Aggregation

open access: yesEconometrics, 2021
This paper used cross-sectional aggregation as the inspiration for a model with long-range dependence that arises in actual data. One of the advantages of our model is that it is less brittle than fractionally integrated processes.
J. Eduardo Vera-Valdés
doaj   +1 more source

Learning Generates Long Memory [PDF]

open access: yesSSRN Electronic Journal, 2011
We consider a prototypical representative-agent forward-looking model, and study the low frequency variability of the data when the agent's beliefs about the model are updated through linear learning algorithms. We nd that learning in this context can generate strong persistence.
Chevillon, Guillaume   +1 more
openaire   +3 more sources

Pitfalls in long memory research

open access: yesCogent Economics & Finance, 2020
This paper offers a multifaceted perspective of the literature on long memory. Although the research on long memory has played an instrumental role in elevating the level of scholarly discourse on market efficiency, the authors believe that the issue of ...
Kunal Saha   +2 more
doaj   +1 more source

Comparison of estimation methods for the density of autoregressive parameter in aggregated AR(1) processes

open access: yesLietuvos Matematikos Rinkinys, 2021
The article investigates the properties of two alternative disaggregation methods. First one, proposed in Chong (2006), is based on the assumption of polynomial autoregressive parameter density. Second one, proposed in Leipus et al.
Dmitrij Celov   +2 more
doaj   +1 more source

Long-term memory retrieval bypasses working memory

open access: yesNeuroImage, 2022
For decades, it has been assumed that when humans retrieve information from long-term memory (LTM), information need first to be brought back into working memory (WM). However, as WM capacity is limited, it is unclear what happens if information from LTM needs to be retrieved while WM is fully engaged?
Liu, Baiwei   +3 more
openaire   +4 more sources

Modeling Long Memory in REITs [PDF]

open access: yesReal Estate Economics, 2007
One stylized feature of financial volatility impacting the modeling process is long memory. This article examines long memory for alternative risk measures, observed absolute and squared returns for Daily Equity real estate investment trust (REITs) and compares the findings for a market equity index.
Cotter, John, Simon Stevenson, Simon
openaire   +6 more sources

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