Results 21 to 30 of about 7,359 (259)

Entropy Based Student’s t-Process Dynamical Model

open access: yesEntropy, 2021
Volatility, which represents the magnitude of fluctuating asset prices or returns, is used in the problems of finance to design optimal asset allocations and to calculate the price of derivatives.
Ayumu Nono   +2 more
doaj   +1 more source

Impact of Idiosyncratic Volatility on Average Stock Returns: Evidence from Sri Lanka [PDF]

open access: yesColombo Business Journal, 2020
The complete diversification of idiosyncratic volatility is questionable due to factors such as market imperfections, investor irrationality and managerial decisions.
H. A. P. K. Perera
doaj   +1 more source

UPSHOT OF DERIVATIVES ON SPOT MARKET VOLATILITY- AN INDUSTRY SPECIFIC ANALYSIS ON INDIAN STOCK MARKET [PDF]

open access: yesICTACT Journal on Management Studies, 2015
This paper attempts tocheck whether the spot market volatility variation is an act of derivatives or merely industry specific factors only. This study is based on 23 stocks of six different industries of the Indian stock market.
K. Kannan, G. Balamurugan
doaj   +1 more source

How does digital supply chain finance affect the fluctuation of corporate cash flow? Based on panel data analysis of industry heterogeneity

open access: yesInternational Review of Economics & Finance
Based on panel data of Chinese listed companies from 2011 to 2023, this paper systematically analyzes the impact and mechanisms of digital supply chain finance on corporate cash flow volatility.
Jing Xue, Yifei Qu
doaj   +1 more source

Evaluation of the Fluctuation Mechanism of Behavioral Financial Market Based on Edge Computing

open access: yesInternational Transactions on Electrical Energy Systems, 2022
The global economy is growing faster and faster. Behavioral finance is a transformation of financial theory. Over the past decade, this shift has had strong repercussions in academia, challenging the dominance of traditional finance and forming its own ...
Xiaoliang Yuan
doaj   +1 more source

An alternative algorithm for regularization of noisy volatility calibration in Finance [PDF]

open access: yesRevue Africaine de Recherche en Informatique et Mathématiques Appliquées, 2016
This contribution is an extension of the work initiated in [1], presenting a strategy for the calibration of the local volatility. Due to Morozov's discrepancy principle [6], the Tikhonov regularization problem introduced in [7] is understood as an inequality-constrained minimization problem.
Medarhri Ibtissam   +2 more
openaire   +3 more sources

Volatility and spillover analysis between cryptocurrencies and financial indices: a diagonal BEKK and DCC GARCH model approach in support of SDGs

open access: yesCogent Economics & Finance
This study explores the volatility spillover effects between clean and dirty cryptocurrencies and key financial indices, specifically focusing on Green Finance Indices (such as solar, wind, and nuclear) and Economic Indices (like the Baltic Dry Index and
Iulia Cristina Iuga   +2 more
doaj   +1 more source

The continuity and estimates of a solution to mixed fractional constant elasticity of variance system with stochastic volatility and the pricing of vulnerable options

open access: yesJournal of Inequalities and Applications, 2019
Stochastic volatility models play an important role in finance modeling. Under a mixed fractional Brownian motion environment, we study the continuity and estimates of a solution to a kind of stochastic differential equations with double volatility terms.
Yan Dong
doaj   +1 more source

Forecasting the Volatility of the Stock Index with Deep Learning Using Asymmetric Hurst Exponents

open access: yesFractal and Fractional, 2022
The prediction of the stock price index is a challenge even with advanced deep-learning technology. As a result, the analysis of volatility, which has been widely studied in traditional finance, has attracted attention among researchers.
Poongjin Cho, Minhyuk Lee
doaj   +1 more source

The Influence of Field‐Assisted Sintering Technology (FAST) Temperature and Cooling Rate on the Microstructural Evolution in Gamma‐Titanium Aluminide Alloy GE4822

open access: yesAdvanced Engineering Materials, EarlyView.
Controlling the Field Assisted Sintering Technology (FAST) parameters, dwell temperature and cooling rate, significantly influences the microstructural evolution in titanium aluminide GE4822. Significant γ‐lamellar colonies develop only upon cooling through the α‐transus.
Jack Krohn, James Pepper, Martin Jackson
wiley   +1 more source

Home - About - Disclaimer - Privacy