Results 51 to 60 of about 22,228 (264)
Comparing the Performance of Developed and Emerging Market Equities during Economic Downturns
Journal of Accounting and Finance in Emerging Economies, 2023 Purpose: This study compares developed and developing market stocks during the Russia-Ukraine crisis, a time of high geopolitical tensions. Economic downturns are complicated by geopolitical, financial, and natural disasters.
Syyed Ali Raza Kazmi, Maujood Ali
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Emerging equity market volatility [PDF]
Journal of Financial Economics, 1995 Abstract Understanding volatility in emerging capital markets is important for determining the cost of capital and for evaluating direct investment and asset allocation decisions. We provide an approach that allows the relative importance of world and local information to change through time in both the expected returns and conditional variance ...
Geert Bekaert, Campbell R. Harvey
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Chemically Doped Conductive Polymers for Wearable Health Monitoring
Advanced Materials Technologies, EarlyView.Among conductive polymers, poly(3,4‐ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS), polyaniline (PANI), and polypyrrole (PPy) are the most studied and applied. Chemical doping significantly boosts intrinsic conductivity and mechanical robustness.
Mengdi Zuo +5 more
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Financial InnovationThe term spread is viewed as a leading indicator for predicting stock market volatility. The safe haven hypothesis argues that rising stock market volatility may increase the demand for Treasury-issued bonds, thereby lowering the term spread.
Haydory Akbar Ahmed
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Cogent Economics & Finance, 2022 The study examines the effect of financial sector development on macroeconomic volatility in the Southern African Development Community (SADC) region for the period 1980–2018 employing the Cross-Sectionally Augmented Autoregressive Distributed Lag (CS ...
Forget Mingiri Kapingura +2 more
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Credit Market and Macroeconomic Volatility [PDF]
SSRN Electronic Journal, 2007 This paper investigates the role of credit market size as a determinant of business cycle fluctuations. First, using OECD data I document that credit market depth mitigates the impact of variations in productivity to output volatility. Then, I use a business cycle model with borrowing limits a la Kiyotaki and Moore (1997) to replicate this empirical ...
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Advanced Materials Technologies, EarlyView.An AlON interfacial layer is engineered within an AlN switching layer to enable transparent RRAM with four stable resistance states. The device achieves low‐voltage multilevel switching and a high HRS, allowing precise grayscale modulation and preventing light leakage in micro‐LEDs operated at VDD = 2.7 V.
Sung Keun Choi +7 more
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Cross-Market Spillovers with Volatility Surprisee [PDF]
SSRN Electronic Journal, 2014 AbstractThis article adopts the asymmetric DCC with one exogenous variable (ADCCX) model developed by Vargas (2008), by updating the concept of ‘volatility surprise’ to capture cross‐market relationships. Current methods for measuring spillovers do not focus on volatility interactions, and neglect cross‐effects between the conditional variances.
Aboura, Sofiane, Chevallier, Julien
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Machine Learning for Green Solvents: Assessment, Selection and Substitution
Advanced Science, EarlyView.Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta +4 more
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To Examine the Spillover effect between the KSE100 and S&P500 Index
Universidad y Empresa, 2018 The volatility spillover is defined as the transmission of instability from market to market. It occurs when the volatility price change in one market causes a lagged impact on volatility price in another market above the local effects of market. In this
Mudassar Hasan +4 more
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