Results 41 to 50 of about 4,943 (215)

Forecasting price of Indian mustard (Brassica juncea) using long memory time series model incorporating exogenous variable

open access: yesThe Indian Journal of Agricultural Sciences, 2022
The objective of present study was to investigate the efficiency of Autoregressive fractionally integrated moving average model with exogenous input (ARFIMAX) in forecasting price of Indian mustard [Brassica juncea (L.) Czern. & Coss].
RANJIT KUMAR PAUL   +4 more
doaj   +1 more source

Using Deep Learning Conditional Value‐at‐Risk Based Utility Function in Cryptocurrency Portfolio Optimisation

open access: yesInternational Journal of Finance &Economics, Volume 31, Issue 2, Page 2845-2862, April 2026.
ABSTRACT One of the critical risks associated with cryptocurrency assets is the so‐called downside risk, or tail risk. Conditional Value‐at‐Risk (CVaR) is a measure of tail risks that is not normally considered in the construction of a cryptocurrency portfolio.
Xinran Huang   +3 more
wiley   +1 more source

Investigating the Dynamic Correlation of the Turkish Stock Market With Conventional Financial Assets and Digital Currencies

open access: yesDiscrete Dynamics in Nature and Society, Volume 2026, Issue 1, 2026.
Today, the astonishing growth of digital currency has attracted many bold investors. This has caused digital currencies to be gradually introduced as a new asset class with its own criteria. However, the relationship between traditional assets and new assets is not yet deeply understood. This study’s objective is to investigate the dynamic relationship
Farzaneh Shams Tarnabi, Fabio Tramontana
wiley   +1 more source

Geometric shrinkage priors for K\"ahlerian signal filters

open access: yes, 2015
We construct geometric shrinkage priors for K\"ahlerian signal filters. Based on the characteristics of K\"ahler manifolds, an efficient and robust algorithm for finding superharmonic priors which outperform the Jeffreys prior is introduced. Several ans\"
Choi, Jaehyung, Mullhaupt, Andrew P.
core   +2 more sources

ARFIMA Modelling for Tectonic Earthquakes in The Maluku Region

open access: yesIndonesian Journal of Statistics and Its Applications, 2021
Maluku Province is one of the regions in Indonesia with a very active and very prone earthquake intensity because it is a meeting place for 3 (three) plates, namely the Eurasian, Pacific and Australian plates. In the last 100 years, the history of tectonic earthquakes with tsunamis that occurred in Indonesia was 25-30% occurring in the Maluku Sea and ...
Ferry Kondo Lembang   +2 more
openaire   +2 more sources

Early Detection of Cyberattacks in Banking Networks via a Fractional Partial Differential Equation Model

open access: yesJournal of Applied Mathematics, Volume 2026, Issue 1, 2026.
In this paper, we model edge traffic with a conformable fractional partial differential equation that keeps memory in time and space. The solution represents a unit‐free attack pressure, built from a z‐scored edge series, a quiet period baseline, and a partially absorbing boundary that reflects scrubbing and rate limits.
Ahmad Alshanty   +3 more
wiley   +1 more source

A brief history of long memory: Hurst, Mandelbrot and the road to ARFIMA [PDF]

open access: yes, 2016
Long memory plays an important role in many fields by determining the behaviour and predictability of systems; for instance, climate, hydrology, finance, networks and DNA sequencing.
Franzke, Christian   +3 more
core   +3 more sources

"Modeling and Forecasting the Volatility of the Nikkei 225 Realized Volatility Using the ARFIMA-GARCH Model" [PDF]

open access: yes
In this paper, we apply the ARFIMA-GARCH model to the realized volatility and the continuous sample path variations constructed from high-frequency Nikkei 225 data.
Isao Ishida, Toshiaki Watanabe
core   +3 more sources

PEMODELAN AUTOREGRESSIVE FRACTIONALLY INTEGRATED MOVING AVERAGE (ARFIMA) UNTUK AKTIVITAS CURAH HUJAN DI KOTA MEDAN

open access: yesJurnal Lebesgue
The Autoregressive Fractionally Integrated Moving Average (ARFIMA) model is a development of the ARIMA model with the differencing values ​​being fractional numbers.
Muhammad Reja Sinaga   +2 more
doaj   +1 more source

Fractional Gaussian Noise: Spectral Density and Estimation Methods

open access: yesJournal of Time Series Analysis, Volume 46, Issue 6, Page 1146-1174, November 2025.
The fractional Brownian motion (fBm) process, governed by a fractional parameter H∈(0,1)$$ H\in \left(0,1\right) $$, is a continuous‐time Gaussian process with its increment being the fractional Gaussian noise (fGn). This article first provides a computationally feasible expression for the spectral density of fGn.
Shuping Shi, Jun Yu, Chen Zhang
wiley   +1 more source

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