Results 121 to 130 of about 3,038,976 (302)
The effect of COVID-19 on long memory in returns and volatility of cryptocurrency and stock markets. [PDF]
Chaos Solitons Fractals, 2021 Lahmiri S, Bekiros S.
europepmc +1 more source
Neuroinflammation in GAD65 Antibody‐Associated Epilepsy Measured Using [18F]DPA‐714 PET/MRI
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT The timing for initiating immunotherapy in patients with glutamic acid decarboxylase 65 (GAD65) antibody‐associated epilepsy is a challenge. We used the translocator protein radioligand [18F]DPA‐714 and PET to evaluate brain microglial activation.
Jingjing Chen +10 more
wiley +1 more source
Long memory and non-linearity in Stock Markets [PDF]
In this paper the long memory and non-linear properties of share prices in the UK’s Stock Exchange and AIM are explored. The results suggest that the most commonly traded shares exhibit long memory thus raising interesting issues about the validity of ...
Bond, Derek, Dyson, Kenneth
core +1 more source
Validity of a Wearable Digital Insole for Assessing Gait ON and OFF in Parkinson's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Gait impairment is a distinctive symptom of Parkinson's disease that negatively impact mobility. We assessed the validity of wearable digital insoles against a validated reference gait analysis system for measuring select gait characteristics in patients with Parkinson's disease. Methods A comparative analysis between digital insoles
Deborah A. Hall +16 more
wiley +1 more source
Persistence in high frequency financial data: the case of the EuroStoxx 50 futures prices
Cogent Economics & FinanceDifferences in the behaviour of asset prices depending on data frequency have not been thoroughly investigated in the literature despite their possible importance.
Guglielmo Maria Caporale, Alex Plastun
doaj +1 more source
Modelling Long Memory in REITs [PDF]
One stylized feature of financial volatility impacting the modeling process is long memory. This paper examines long memory for alternative risk measures, observed absolute and squared returns for Daily REITs and compares the findings for a non- REIT ...
John Cotter
core
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Cognitive decline is a disabling and variable feature of Parkinson disease (PD). While cholinergic system degeneration is linked to cognitive impairments in PD, most prior research reported cross‐sectional associations. We aimed to fill this gap by investigating whether baseline regional cerebral vesicular acetylcholine transporter ...
Taylor Brown +6 more
wiley +1 more source
Long Run Covariance Matrices for Fractionally Integrated Processes [PDF]
An asymptotic expansion is given for the autocovariance matrix of a vector of stationary long-memory processes with memory parameters d satisfying 0Asymptotic expansion, Autocovariance function, Fourier integral, Long memory, Long run variance, Spectral ...
Chang Sik Kim, Peter C.B. Phillips
core
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Emerging evidence suggests that low‐frequency neural oscillations are dynamically regulated by consciousness levels, with the recovery of low cortical activity potentially serving as a neurophysiological substrate for conscious emergence. Targeted enhancement of these low‐frequency rhythms in patients with disorders of consciousness
Chuan Xu +10 more
wiley +1 more source
Multi-Timescale Recurrent Neural Networks Beat Rough Volatility for Intraday Volatility Prediction
RisksWe extend recurrent neural networks to include several flexible timescales for each dimension of their output, which mechanically improves their abilities to account for processes with long memory or highly disparate timescales. We compare the ability of
Damien Challet, Vincent Ragel
doaj +1 more source