17,527 research outputs found
A TWO-SHOCK MODEL OF THE IMPACT OF CROP INSURANCE ON INPUT USE: ANALYTIC AND SIMULATION RESULTS
By altering the probability distribution of farm income, crop insurance programs affect farmer's input use decision. Ramaswami's (1993) one-shock model analyzed the effect of the crop insurance on single input use by allowing the randomness of yield while keeping price constant in revenue determination. The total effect of actuarially fair insurance on input use was decomposed into risk reduction effect and moral hazard effect, and the directions of the two effects were examined. He showed that the total impact of actuarially fair crop insurance on input use was a) to reduce it if the input was risk decreasing and b) indeterminate if the input was risk increasing. However, the evidence from previous empirical work has been mixed. Horowitz and Lichtenberg (1993) suggested insured farmers raising corn use more fertilizers and pesticides while Smith and Goodwin (1996) obtained the opposite result for wheat. Smith and Goodwin also used more comprehensive econometric tests and had a higher quality data set. A common belief is that fertilizer is risk increasing and pesticide risk decreasing. Ramaswami's model assumed crop price was constant and yield was the only source of randomness in farmer's revenue. In reality, market price is a random variable and often negatively correlated with the farmer's yield. For example, bad weather conditions tend to reduce yield across farms in a common region, which may cause diminished quantities supplied and higher crop price. Our paper extends Ramaswami's one-shock model to a two-shock model, and generalizes the two propositions in that paper by introducing randomness to price as well as yield. With two random shocks, the total insurance effect on input use is indeterminate for both risk increasing and risk decreasing inputs, which is consistent with the mixed empirical evidence. Our study also provides a numerical method to decompose the total insurance effect into a risk reduction effect and a moral hazard effect using empirical data. The simulation based on 75 percent coverage level suggests the total insurance effect is economically small to the farmer as are the risk reduction effect and moral hazard effect under mild risk aversion. And the moral hazard effect is less significant than the risk reduction effect. However, the moral hazard effect becomes larger if a higher coverage level is used.Risk and Uncertainty,
Statistical properties of short term price trends in high frequency stock market data
We investigated distributions of short term price trends for high frequency
stock market data. A number of trends as a function of their lengths was
measured. We found that such a distribution does not fit to results following
from an uncorrelated stochastic process. We proposed a simple model with a
memory that gives a qualitative agreement with real data.Comment: 10 pages, 9 figures, in ver. 2 one chapter adde
Melanocortin 1 receptor targeted imaging of melanoma with gold nanocages and positron emission tomography
Purpose: Melanoma is a lethal skin cancer with unmet clinical needs for targeted imaging and therapy. Nanoscale materials conjugated with targeting components have shown great potential to improve tumor delivery efficiency while minimizing undesirable side effects in vivo. Herein, we proposed to develop targeted nanoparticles for melanoma theranostics. Method: In this work, gold nanocages (AuNCs) were conjugated with α-melanocyte-stimulating hormone (α-MSH) peptide and radiolabeled with 64Cu for melanocortin 1 receptor-(MC1R) targeted positron emission tomography (PET) in a mouse B16/F10 melanoma model. Results: Their controlled synthesis and surface chemistry enabled well-defined structure and radiolabeling efficiency. In vivo pharmacokinetic evaluation demonstrated comparable organ distribution between the targeted and nontargeted AuNCs. However, micro-PET/computed tomography (CT) imaging demonstrated specific and improved tumor accumulation via MC1R-mediated delivery. By increasing the coverage density of α-MSH peptide on AuNCs, the tumor delivery efficiency was improved. Conclusion: The controlled synthesis, sensitive PET imaging, and optimal tumor targeting suggested the potential of targeted AuNCs for melanoma theranostics. </jats:sec
Volatility in Financial Markets: Stochastic Models and Empirical Results
We investigate the historical volatility of the 100 most capitalized stocks
traded in US equity markets. An empirical probability density function (pdf) of
volatility is obtained and compared with the theoretical predictions of a
lognormal model and of the Hull and White model. The lognormal model well
describes the pdf in the region of low values of volatility whereas the Hull
and White model better approximates the empirical pdf for large values of
volatility. Both models fails in describing the empirical pdf over a moderately
large volatility range.Comment: 6 pages, 2 figure
Nonextensive statistical features of the Polish stock market fluctuations
The statistics of return distributions on various time scales constitutes one
of the most informative characteristics of the financial dynamics. Here we
present a systematic study of such characteristics for the Polish stock market
index WIG20 over the period 04.01.1999 - 31.10.2005 for the time lags ranging
from one minute up to one hour. This market is commonly classified as emerging.
Still on the shortest time scales studied we find that the tails of the return
distributions are consistent with the inverse cubic power-law, as identified
previously for majority of the mature markets. Within the time scales studied a
quick and considerable departure from this law towards a Gaussian can however
be traced. Interestingly, all the forms of the distributions observed can be
comprised by the single -Gaussians which provide a satisfactory and at the
same time compact representation of the distribution of return fluctuations
over all magnitudes of their variation. The corresponding nonextensivity
parameter is found to systematically decrease when increasing the time
scales.Comment: 14 pages. Physica A in prin
Eta absorption by mesons
Using the chiral Lagrangian with hidden local
symmetry, we evaluate the cross sections for the absorption of eta meson () by pion (), rho (), omega (), kaon (), and kaon
star () in the tree-level approximation. With empirical masses and
coupling constants as well as reasonable values for the cutoff parameter in the
form factors at interaction vertices, we find that most cross sections are less
than 1 mb, except the reactions ,
, , and , which are a few mb, and the reactions and , which are more than 10 mb. Including these reactions in a kinetic model
based on a schematic hydrodynamic description of relativistic heavy ion
collisions, we find that the abundance of eta mesons likely reaches chemical
equilibrium with other hadrons in nuclear collisions at the Relativistic Heavy
Ion Collider.Comment: 29 pages, 10 figures, version to appear in Nucl. Phys.
Electromagnetically-Induced-Transparency-Like Effect in the Degenerate Triple-Resonant Optical Parametric Amplifier
We investigate experimentally the absorptive and dispersive properties of
triple-resonant optical parametric amplifier OPA for the degenerate subharmonic
field. In the experiment, the subharmonic field is utilized as the probe field
and the harmonic wave as the pump field. We demonstrate that EIT-like effect
can be simulated in the triple-resonant OPA when the cavity line-width for the
harmonic wave is narrower than that for the subharmonic field. However, this
phenomenon can not be observed in a double-resonant OPA. The narrow
transparency window appears in the reflected field. Especially, in the measured
dispersive spectra of triple-resonant OPA, a very steep variation of the
dispersive profile of the subharmonic field is observed, which can result in a
slow light as that observed in atomic EIT medium.Comment: 10 pages, 4 figures, appear in Opt. Let
Bayesian Methods for Analysis and Adaptive Scheduling of Exoplanet Observations
We describe work in progress by a collaboration of astronomers and
statisticians developing a suite of Bayesian data analysis tools for extrasolar
planet (exoplanet) detection, planetary orbit estimation, and adaptive
scheduling of observations. Our work addresses analysis of stellar reflex
motion data, where a planet is detected by observing the "wobble" of its host
star as it responds to the gravitational tug of the orbiting planet. Newtonian
mechanics specifies an analytical model for the resulting time series, but it
is strongly nonlinear, yielding complex, multimodal likelihood functions; it is
even more complex when multiple planets are present. The parameter spaces range
in size from few-dimensional to dozens of dimensions, depending on the number
of planets in the system, and the type of motion measured (line-of-sight
velocity, or position on the sky). Since orbits are periodic, Bayesian
generalizations of periodogram methods facilitate the analysis. This relies on
the model being linearly separable, enabling partial analytical
marginalization, reducing the dimension of the parameter space. Subsequent
analysis uses adaptive Markov chain Monte Carlo methods and adaptive importance
sampling to perform the integrals required for both inference (planet detection
and orbit measurement), and information-maximizing sequential design (for
adaptive scheduling of observations). We present an overview of our current
techniques and highlight directions being explored by ongoing research.Comment: 29 pages, 11 figures. An abridged version is accepted for publication
in Statistical Methodology for a special issue on astrostatistics, with
selected (refereed) papers presented at the Astronomical Data Analysis
Conference (ADA VI) held in Monastir, Tunisia, in May 2010. Update corrects
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Heterologous hybridisation to a Pinus microarray: profiling of gene expression in Pinus radiata saplings exposed to ethephon
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