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Nonlinear modelling of dynamic spatio-temporal network data is often a challenge with various issues, in particular due to irregularly observed locations and location-wide non-stationarity. In this pa...
Global Ocean Markets     Global Ocean  Markets       2015/8/4
It is only in recent times that nations have begun to recognize the size, diversity and complexity of the ocean industries and their importance to all. To many people marine equals shipping, which is ...
Abstract: We consider an illiquid financial market with different regimes modeled by a continuous-time finite-state Markov chain. The investor can trade a stock only at the discrete arrival times of a...
Abstract: Financial markets provide an ideal frame for the study of first-passage time events of non-Gaussian correlated dynamics mainly because large data sets are available. Tick-by-tick data of six...
This paper consists of two parts. In the first part, by building on the work of Jouini and Kallal in [26], Sch¨urger in [37], Frittelli in [15], Pham and Touzi in [34] and Napp in [33], we prove the ...
In this paper we introduce a simple model for a financial market characterized by a sin- gle stock or good and an interplay between two different traders populations, chartists and fundamentalists, ...
We study how information perturbations can destabilize two-sided matching mar-kets. In our model, agents arrive on the market over two periods, while agents in the first period do not know the types o...
We derive a mesoscopic description of the behavior of a simple financial market where the agents can create their own portfolio between two investment alternatives: a stock and a bond. The model is de...
We investigate the large-volatility dynamics in financial markets, based on the minutely and daily data of the Chinese Indices and German DAX. The dynamic relaxation both before and after large volati...
I prove that if markets are weak-form efficient, meaning current prices fully reflect all information available in past prices, then P = NP, meaning every computational problem whose solution can be v...
Using virtual stock markets with artificial interacting software investors, aka agent-based models (ABMs), we present a method to reverse engineer real-world financial time series. We model financial ...
By combining (i) the economic theory of rational expectation bubbles, (ii) behavioral finance on imitation and herding of investors and traders and (iii) the mathematical and statistical physics of ...
Real world markets display power-law features in variables such as price fluctuations in stocks. To further understand market behavior, we have conducted a series of market experiments on our web-base...
We study a class of nonlinear pricing models which involves the feedback effect from the dynamic hedging strategies on the price of asset introduced by Sircar and Papanicolaou. We are first to study t...
Mandatory emission trading schemes are being established around the world. Participants of such market schemes are always exposed to risks. This leads to the creation of an accompanying market for emi...

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