A continuum percolation model for stock price fluctuation as a Lévy process

2014 ◽  
Vol 28 (1) ◽  
pp. 175-189 ◽  
Author(s):  
Ning Wang ◽  
Ximin Rong ◽  
Guanghua Dong
Keyword(s):  
Stock Price ◽  
Lévy Process ◽  
Percolation Model ◽  
Levy Process ◽  
Continuum Percolation ◽  
Price Fluctuation

ANALISIS PENGARUH ERUBAHAN TINGKAT SUKU BUNGA SBI DAN PERUBAHAN KURS US$ TERHADAP HARGA PASAR SAHAM SEMEN GRESIK, TBK PERIODE JANUARI 2002 – DESEMBER 2006

2017 ◽  
Vol 4 (1) ◽  
Author(s):  
Oktafalia Marisa ◽  
Maya Syafriana
Keyword(s):  
Monetary Policy ◽  
Exchange Rate ◽  
Cash Flow ◽  
Stock Price ◽  
External Factors ◽  
Investment Climate ◽  
Internal Factors ◽  
Price Fluctuation ◽  
Two Factors ◽  
Investment Behaviour

<p class="Pendahuluan">Investment climate has begun to rise since a few years ago. Stock price fluctuations keep stable and move to the positive position. Stock price fluctuation affected by two factors, internal factors and external factors. Internal factors consist of company’s cash flow, dividend and investment behaviour. External factors consist of monetary policy, exchange rate, interest volatility, globalization, companies’ competition, and technology. This research, try to find out the effects of SBI rate and exchanged rate (USD/Rp) to PT. Semen Gresik’s stock price.</p><p class="Pendahuluan"> </p><p class="Pendahuluan">Keywords : Investment, stock price, SBI’s rate, and Exchanged rate.</p>

scholarly journals LAN property for a simple Lévy process

2014 ◽  
Vol 352 (10) ◽  
pp. 859-864 ◽  
Author(s):  
Arturo Kohatsu-Higa ◽  
Eulalia Nualart ◽  
Ngoc Khue Tran
Keyword(s):  
Lévy Process ◽  
Levy Process

scholarly journals On the optimal dividend problem for a spectrally negative Lévy process

2007 ◽  
Vol 17 (1) ◽  
pp. 156-180 ◽  
Author(s):  
Florin Avram ◽  
Zbigniew Palmowski ◽  
Martijn R. Pistorius
Keyword(s):  
Lévy Process ◽  
Levy Process ◽  
Spectrally Negative Lévy Process ◽  
Optimal Dividend

scholarly journals Limit Theory for High Frequency Sampled MCARMA Models

2014 ◽  
Vol 46 (3) ◽  
pp. 846-877 ◽  
Author(s):  
Vicky Fasen
Keyword(s):  
Asymptotic Behavior ◽  
High Frequency ◽  
Lévy Process ◽  
Asymptotic Properties ◽  
Domain Of Attraction ◽  
Levy Process ◽  
Sample Variance ◽  
Limit Theory ◽  
Second Moments ◽  
Time Grid

We consider a multivariate continuous-time ARMA (MCARMA) process sampled at a high-frequency time grid {hn, 2hn,…, nhn}, where hn ↓ 0 and nhn → ∞ as n → ∞, or at a constant time grid where hn = h. For this model, we present the asymptotic behavior of the properly normalized partial sum to a multivariate stable or a multivariate normal random vector depending on the domain of attraction of the driving Lévy process. Furthermore, we derive the asymptotic behavior of the sample variance. In the case of finite second moments of the driving Lévy process the sample variance is a consistent estimator. Moreover, we embed the MCARMA process in a cointegrated model. For this model, we propose a parameter estimator and derive its asymptotic behavior. The results are given for more general processes than MCARMA processes and contain some asymptotic properties of stochastic integrals.

scholarly journals Last Exit Before an Exponential Time for Spectrally Negative Lévy Processes

2009 ◽  
Vol 46 (02) ◽  
pp. 542-558 ◽  
Author(s):  
E. J. Baurdoux
Keyword(s):  
Laplace Transform ◽  
Lévy Process ◽  
Risk Process ◽  
Levy Process ◽  
Risk Theory ◽  
Exponential Time ◽  
Main Motivation ◽  
Spectrally Negative Lévy Process ◽  
The Laplace Transform ◽  
Spectrally Negative Lévy Processes

Chiu and Yin (2005) found the Laplace transform of the last time a spectrally negative Lévy process, which drifts to ∞, is below some level. The main motivation for the study of this random time stems from risk theory: what is the last time the risk process, modeled by a spectrally negative Lévy process drifting to ∞, is 0? In this paper we extend the result of Chiu and Yin, and we derive the Laplace transform of the last time, before an independent, exponentially distributed time, that a spectrally negative Lévy process (without any further conditions) exceeds (upwards or downwards) or hits a certain level. As an application, we extend a result found in Doney (1991).

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