Results 41 to 50 of about 21,387 (259)

Can the Implied Information of Options Predict the Liquidity of Stock Market? A Data-Driven Research Based on SSE 50ETF Options

open access: yesJournal of Mathematics, 2021
Liquidity reflects the quality of the market. When the market is short of liquidity, it often causes investors’ trading difficulties and stock price volatility, expanding the investment risk.
Hairong Cui, Jinfeng Fei, Xunfa Lu
doaj   +1 more source

Ultrafast Thermal Shock Synthesis of CuNiSnLa Medium‐Entropy Metallic Glass for Sustainable Nitrogen Fixation via Plasma‐Coupled Electrocatalysis

open access: yesAdvanced Functional Materials, EarlyView.
This work introduces an ultrafast thermal shock strategy to synthesize a CuNiSnLa medium‐entropy metallic glass (MEMG). The rapid heating and cooling process generates a robust, highly active catalyst for electrocatalytic nitrate reduction to ammonia (NRA).
Hongbo Chen   +7 more
wiley   +1 more source

Strategic Pricing in Volatile Markets

open access: yesSSRN Electronic Journal, 2018
Dynamic Strategic Pricing Firms use pricing strategically to influence entry and exit of competitors. A key form of strategic pricing is limit pricing, whereby a market incumbent sets low prices to deter a potential entrant. In practice, strategic pricing takes place in dynamic, stochastic environments: An incumbent that uses prices to signal ...
Sebastian Gryglewicz, Aaron Kolb
openaire   +2 more sources

Recent Advances in Ferrite‐Based Materials for Biomedical Applications: A Comprehensive Review

open access: yesAdvanced Materials, EarlyView.
Ferrite nanoplatforms are presented as tunable biomedical materials in which synthesis control, cation engineering, defect/morphology regulation, and surface functionalization govern structure–property–bioactivity relationships. These design strategies enable multifunctional applications including MRI contrast, magnetic hyperthermia, targeted drug ...
Pramod D. Mhase   +6 more
wiley   +1 more source

Agricultural Commodity Trading: Is it Destabilizing Spot Markets?

open access: yesVikalpa, 2018
Executive Summary The future trading has been held responsible by certain political and interest groups of enhancing speculative trading activities and causing volatility in the spot market, thereby further spiralling up inflation.
C. P. Gupta, Sanjay Sehgal, Sahaj Wadhwa
doaj   +1 more source

Quantitative Easing Program and Financial Market Volatility in Indonesia

open access: yesJEJAK: Jurnal Ekonomi dan Kebijakan, 2017
This research aims to examine the impact of the USD money supply during and before quantitative easing program towards financial market volatility in Indonesia which is proxied by variance of financial market index such as IHSG, Gold Price in IDR, and ...
T. Muhd. Redha Vahlevi, Harjum Muharam
doaj   +1 more source

Variety and volatility in financial markets [PDF]

open access: yesPhysical Review E, 2000
We study the price dynamics of stocks traded in a financial market by considering the statistical properties both of a single time series and of an ensemble of stocks traded simultaneously. We use the $n$ stocks traded in the New York Stock Exchange to form a statistical ensemble of daily stock returns.
Fabrizio Lillo, Rosario N. Mantegna
openaire   +3 more sources

From the Discovery of the Giant Magnetocaloric Effect to the Development of High‐Power‐Density Systems

open access: yesAdvanced Materials Technologies, EarlyView.
The article overviews past and current efforts on caloric materials and systems, highlighting the contributions of Ames National Laboratory to the field. Solid‐state caloric heat pumping is an innovative method that can be implemented in a wide range of cooling and heating applications.
Agata Czernuszewicz   +5 more
wiley   +1 more source

Emerging equity market volatility [PDF]

open access: yesJournal 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
openaire   +2 more sources

Machine Learning for Green Solvents: Assessment, Selection and Substitution

open access: yesAdvanced 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
wiley   +1 more source

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