Results 171 to 180 of about 237,695 (301)
Predicting extreme VaR: Nonparametric quantile regression with refinements from extreme value theory [PDF]
This paper studies the performance of nonparametric quantile regression as a tool to predict Value at Risk (VaR). The approach is flexible as it requires no assumptions on the form of return distributions.
Julia Schaumburg
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ABSTRACT Amid rising food and fertilizer prices, understanding farmers' policy preferences is critical for effective crisis response. We use best‐worst scaling experiment to assess Kenyan mobile‐owning crop farmers' preferences for government support under high and normal price scenarios.
Mywish K. Maredia +4 more
wiley +1 more source
Strategic Risk Based Forecasting of Brent Crude Oil Prices: A Comparative Analysis of Econometric and Machine Learning Models. [PDF]
Yılmaz TE, Zehir C.
europepmc +1 more source
In this paper portfolio problems with linear loss functions and multivariate elliptical distributed returns are studied. We consider two risk measures, Value-at-Risk and Conditional-Value-at-Risk, and two types of decision makers, risk neutral and risk ...
Kaynar, B., Birbil, S.I., Frenk, J.B.G.
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Tail Risk for Australian Emerging Market Entities [PDF]
Whilst the Australian economy is widely considered to have fared better than many of its global counterparts during the Global Financial Crisis, there was nonetheless extreme volatility experienced in Australian financial markets.
Akhmad R. Kramadibrata +3 more
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ABSTRACT Rice is the main staple food for more than half of the world's population and the income from rice is an essential source for livelihoods of millions of households. We examine whether direct seed in rice production is an adaptation of rice farmers to rainfall changes and farm labor scarcity.
Manh Hung Do
wiley +1 more source
The quantile domain volatility shock transmission between carbon emission trading system and European emerging stock markets: Practical implications for portfolio optimization. [PDF]
Aljughaiman AA +3 more
europepmc +1 more source
ABSTRACT Estimates of reductions in greenhouse gas (GHG) emissions from lower demand for cattle‐based products must account for substitution effects. This study collected data through two surveys—one on ground beef and another on dairy milk—to evaluate substitution effects and potential GHG reductions.
Brandon R. McFadden +5 more
wiley +1 more source
Variance-Guided Regression for Heteroscedastic Data With a Grouping-Based Extension for Nonlinear Prediction. [PDF]
Liu S, Lu M.
europepmc +1 more source
Value-at-Risk for Country Risk Ratings [PDF]
The country risk literature argues that country risk ratings have a direct impact on the cost of borrowings as they reflect the probability of debt default by a country.
Michael McAleer +2 more
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