Results 301 to 310 of about 730,568 (347)

Nitrogen availability and ammonia volatilization in biochar-based fertilizers

Archives of Agronomy and Soil Science, 2020
Increasing N use efficiency is an important strategy to intensify sustainable agriculture, optimize nutrient use, and reduce N loss to the environment via different routes.
A. P. Puga, Matheus Castro de Almeida Queiroz, M. A. Ligo, C. S. Carvalho, A. M. M. Pires, Juliana de Oliveira Santos Marcatto, C. A. Andrade   +6 more
semanticscholar   +1 more source

Stochastic Volatility [PDF]

SSRN Electronic Journal, 2008
Given the importance of return volatility on a number of practical financial management decisions, the efforts to provide good real-time estimates and forecasts of current and future volatility have been extensive. The main framework used in this context involves stochastic volatility models.
Torben G. Andersen, Luca Benzoni
openaire   +2 more sources

Biochar application as a tool to decrease soil nitrogen losses (NH3 volatilization, N2O emissions, and N leaching) from croplands: Options and mitigation strength in a global perspective

Global Change Biology, 2019
Biochar application to croplands has been proposed as a potential strategy to decrease losses of soil‐reactive nitrogen (N) to the air and water. However, the extent and spatial variability of biochar function at the global level are still unclear. Using
Qi Liu, Benjuan Liu, Yanhui Zhang, Tianlong Hu, Zhibin Lin, Gang Liu, Xiaojie Wang, Jing Ma, Hui Wang, Haiyang Jin, P. Ambus, J. Amonette, Zu-bin Xie   +12 more
semanticscholar   +1 more source

Understanding Trends in Pesticide Volatilization from Agricultural Fields using the Pesticide Loss via Volatilization (PLoVo) Model.

Environmental Science and Technology, 2019
The Pesticide Loss via Volatilization (PLoVo) model was developed to predict and understand pesticide volatilization rates from a planted agricultural field.
Madeleine R Taylor, Sean M. Lyons, C. Davie-Martin, Trudyanne S. Geoghegan, K. Hageman   +4 more
semanticscholar   +1 more source

Tracking Volatility

Problems of Information Transmission, 2005
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Goldentayer, L., Klebaner, F., Liptser, R. Sh.   +2 more
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Nonvolatile, semivolatile, or volatile: Redefining volatile for volatile organic compounds

Journal of the Air & Waste Management Association, 2014
Although widely used in air quality regulatory frameworks, the term "volatile organic compound" (VOC) is poorly defined. Numerous standardized tests are currently used in regulations to determine VOC content (and thus volatility), but in many cases the tests do not agree with each other, nor do they always accurately represent actual evaporation rates ...
Uyên-Uyén T, Võ, Michael P, Morris
openaire   +2 more sources

Dynamic volatility management: from conditional volatility to realized volatility

Journal of Investment Strategies, 2019
The volatility of concern in conventional volatility-managed strategies such as volatility-targeting strategy and mean-variance optimization is the expected conditional volatility. However for investors, it is the realized volatility that is important, because there is only one realization in the market.
Rongju Zhang, Nicolas Langrene, Yu Tian, Zili Zhu   +3 more
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STOCHASTIC VOLATILITY

International Journal of Theoretical and Applied Finance, 2002
Hull and White [1] have priced a European call option for the case in which the volatility of the underlying asset is a lognormally distributed random variable. They have obtained their formula under the assumption of uncorrelated innovations in security price and volatility.
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Stochastic Volatility III: Volatility Models and Volatility Surfaces

SSRN Electronic Journal, 2010
We consider implied volatility, time-dependent volatility, local volatility and stochastic volatility. We derive relationships between the different concepts. The relationships are of an exact analytical type if this is possible, else we use expansions to obtain approximate expressions. We close with a discussion of the mixing theorem.
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Forecasting Volatility with Time-Varying Leverage and Volatility of Volatility Effects

SSRN Electronic Journal, 2018
Abstract Predicting volatility is of primary importance for business applications in risk management, asset allocation, and the pricing of derivative instruments. This paper proposes a measurement model that considers the possibly time-varying interaction of realized volatility and asset returns according to a bivariate model to capture its major ...
Catania, L, Proietti, T
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