28 research outputs found
Thin times and random times' decomposition
The paper studies thin times which are random times whose graph is contained
in a countable union of the graphs of stopping times with respect to a
reference filtration . We show that a generic random time can be
decomposed into thin and thick parts, where the second is a random time
avoiding all -stopping times. Then, for a given random time ,
we introduce , the smallest right-continuous filtration
containing and making a stopping time, and we show that, for
a thin time , each -martingale is an -semimartingale, i.e., the hypothesis for
holds. We present applications to honest times,
which can be seen as last passage times, showing classes of filtrations which
can only support thin honest times, or can accommodate thick honest times as
well
Non-Arbitrage Under Additional Information for Thin Semimartingale Models
This paper completes the two studies undertaken in
\cite{aksamit/choulli/deng/jeanblanc2} and
\cite{aksamit/choulli/deng/jeanblanc3}, where the authors quantify the impact
of a random time on the No-Unbounded-Risk-with-Bounded-Profit concept (called
NUPBR hereafter) when the stock price processes are quasi-left-continuous (do
not jump on predictable stopping times). Herein, we focus on the NUPBR for
semimartingales models that live on thin predictable sets only and the
progressive enlargement with a random time. For this flow of information, we
explain how far the NUPBR property is affected when one stops the model by an
arbitrary random time or when one incorporates fully an honest time into the
model. This also generalizes \cite{choulli/deng} to the case when the jump
times are not ordered in anyway. Furthermore, for the current context, we show
how to construct explicitly local martingale deflator under the bigger
filtration from those of the smaller filtration.Comment: This paper develops the part of thin and single jump processes
mentioned in our earlier version: "Non-arbitrage up to random horizon and
after honest times for semimartingale models", Available at:
arXiv:1310.1142v1. arXiv admin note: text overlap with arXiv:1404.041
Robust pricing--hedging duality for American options in discrete time financial markets
We investigate pricing-hedging duality for American options in discrete time
financial models where some assets are traded dynamically and others, e.g. a
family of European options, only statically. In the first part of the paper we
consider an abstract setting, which includes the classical case with a fixed
reference probability measure as well as the robust framework with a
non-dominated family of probability measures. Our first insight is that by
considering a (universal) enlargement of the space, we can see American options
as European options and recover the pricing-hedging duality, which may fail in
the original formulation. This may be seen as a weak formulation of the
original problem. Our second insight is that lack of duality is caused by the
lack of dynamic consistency and hence a different enlargement with dynamic
consistency is sufficient to recover duality: it is enough to consider
(fictitious) extensions of the market in which all the assets are traded
dynamically. In the second part of the paper we study two important examples of
robust framework: the setup of Bouchard and Nutz (2015) and the martingale
optimal transport setup of Beiglb\"ock et al. (2013), and show that our general
results apply in both cases and allow us to obtain pricing-hedging duality for
American options.Comment: 29 page
Non-Arbitrage under a Class of Honest Times
This paper quantifies the interplay between the non-arbitrage notion of
No-Unbounded-Profit-with-Bounded-Risk (NUPBR hereafter) and additional
information generated by a random time. This study complements the one of
Aksamit/Choulli/Deng/Jeanblanc [1] in which the authors studied similar topics
for the case of stopping at the random time instead, while herein we are
concerned with the part after the occurrence of the random time. Given that all
the literature -up to our knowledge- proves that the NUPBR notion is always
violated after honest times that avoid stopping times in a continuous
filtration, herein we propose a new class of honest times for which the NUPBR
notion can be preserved for some models. For this family of honest times, we
elaborate two principal results. The first main result characterizes the pairs
of initial market and honest time for which the resulting model preserves the
NUPBR property, while the second main result characterizes the honest times
that preserve the NUPBR property for any quasi-left continuous model.
Furthermore, we construct explicitly "the-after-tau" local martingale deflators
for a large class of initial models (i.e. models in the small filtration) that
are already risk-neutralized.Comment: 31 pages. arXiv admin note: text overlap with arXiv:1310.114
Arbitrages in a Progressive Enlargement Setting
This paper completes the analysis of Choulli et al. Non-Arbitrage up to
Random Horizons and after Honest Times for Semimartingale Models and contains
two principal contributions. The first contribution consists in providing and
analysing many practical examples of market models that admit classical
arbitrages while they preserve the No Unbounded Profit with Bounded Risk (NUPBR
hereafter) under random horizon and when an honest time is incorporated for
particular cases of models. For these markets, we calculate explicitly the
arbitrage opportunities. The second contribution lies in providing simple
proofs for the stability of the No Unbounded Profit with Bounded Risk under
random horizon and after honest time satisfying additional important condition
for particular cases of models
Martingale spaces and representations under absolutely continuous changes of probability
In a fully general setting, we study the relation between martingale spaces under two locally absolutely continuous probabilities and prove that the martingale represen- tation property (MRP) is always stable under locally absolutely continuous changes of probability. Our approach relies on minimal requirements, is constructive and, as shown by a simple example, enables us to study situations which cannot be covered by the existing theory
Glycosyltransferase efficiently controls phenylpropanoid pathway
<p>Abstract</p> <p>Background</p> <p>In a previous study, anthocyanin levels in potato plants were increased by manipulating genes connected with the flavonoid biosynthesis pathway. However, starch content and tuber yield were dramatically reduced in the transgenic plants, which over-expressed dihydroflavonol reductase (DFR).</p> <p>Results</p> <p>Transgenic plants over-expressing dihydroflavonol reductase (DFR) were subsequently transformed with the cDNA coding for the glycosyltransferase (UGT) of Solanum sogarandinum in order to obtain plants with a high anthocyanin content without reducing tuber yield and quality. Based on enzyme studies, the recombinant UGT is a 7-O-glycosyltransferase whose natural substrates include both anthocyanidins and flavonols such as kaempferol and quercetin. In the super-transformed plants, tuber production was much higher than in the original transgenic plants bearing only the transgene coding for DFR, and was almost the same as in the control plants. The anthocyanin level was lower than in the initial plants, but still higher than in the control plants. Unexpectedly, the super-transformed plants also produced large amounts of kaempferol, chlorogenic acid, isochlorogenic acid, sinapic acid and proanthocyanins.</p> <p>Conclusion</p> <p>In plants over-expressing both the transgene for DFR and the transgene for UGT, the synthesis of phenolic acids was diverted away from the anthocyanin branch. This represents a novel approach to manipulating phenolic acids synthesis in plants.</p