Dynamical Analysis of Stock Market Instability by Cross-correlation Matrix

In this paper we examine the ownership structure of 169 firms listed on the Saudi Arabian stock market from 2008 to 2014. The analysis uses the testing methodology described by Demsetz and Lehn (1985) to examine the effects of firm and market instability on Saudi ownership structure and additionally, the effect of systematic regulation that imposes constraints on the behaviour of the selected listed firms. We find evidence, for the majority of the ownership structures considered, in favour of the view that firm size, regulation and instability affects ownership structure. The results suggest that the size variable has a positive effect on ownership concentration. Our analysis also shows that instability had some effect on ownership concentration and structure when using the non-linear specification, particularly when using firm specific instability, albeit the effect was stronger when the instability measure was accounting profit returns. Lastly, there is evidence that government-owned firms were mostly affected by regulation while diffused owned firms were affected most by instability than non-government owned firms.

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Multi-channel interference source detector

Achievements of Modern Radioelectronics ◽

10.18127/j20700784-202102-06 ◽

2021 ◽

Author(s):

V.N. Antipov ◽

S.L. Ivanov ◽

E.Е. Koltyshev ◽

V.V. Mukhin ◽

A.Yu. Frolov ◽

...

Keyword(s):

Radio Emission ◽

Radiation Pattern ◽

Correlation Matrix ◽

Cross Correlation ◽

Emission Sources ◽

Energy Correlation ◽

Antenna Radiation Pattern ◽

Channel Interference ◽

Main Disadvantage ◽

The Cross

Modern radars, along with the detection and measurement of target coordinates against the background of interference, must solve the problem of detecting radio emission sources and measuring their coordinates. Detection of interference, as well as targets, in the radar is provided in the main (total) channel based on the analysis of the rangefinder-Doppler portrait of the received signal. The main disadvantage of such a detector is that the interference coming along the side lobes of the sum antenna and falling into the dip of the antenna radiation pattern may not be detected. Therefore, the problem arises of developing and analyzing algorithms for detecting interference in a radar with several receiving channels. The article discusses the logical, energy, correlation and eigenvalues of the cross-correlation matrix of the received signals interference detectors for two receiving channels. Their characteristics are given. It is shown that two-channel interference detectors based on the analysis of the eigenvalues of the cross-correlation matrix have the highest efficiency. Energy and logical algorithms are quite a bit inferior to them. The developed algorithms make it possible to effectively detect radio emission sources even when they are in the dip of one of the antenna patterns.

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Hedonic Pricing on the Fine Art Market

Information ◽

10.3390/info11050252 ◽

2020 ◽

Vol 11 (5) ◽

pp. 252

Author(s):

Anna Zhukova ◽

Valeriya Lakshina ◽

Liudmila Leonova

Keyword(s):

Stock Market ◽

Price Index ◽

Art Market ◽

Fine Art ◽

Hedonic Pricing ◽

Influential Factors ◽

Special Treatment ◽

Asset Return ◽

Heckman Model ◽

Market Instability

In conditions of the stock market instability the art assets could be considered as an attractive investment. The fine art market is very heterogeneous which is featured by uniqueness of the goods, specific costs and risks, various peculiarities of functioning, different effects and, hence, needs special treatment. However, due to the diversity of the fine art market’s goods and the absence of the systematic information about the sales, researchers do not come to the same opinion about the merits of the art assets conducting studies on single segments of the market. We make an attempt to investigate attractiveness of the fine art market for investors. Extensive data was collected to obtain a complete pattern of the market analyzing it within different segments. We use the Heckman model in order to estimate the art asset return and find out the most influential factors of art price dynamics. Based on the estimates obtained we construct monthly art price index and compare it with S&P500 benchmark.

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Method of Altitude Measurement in the VHF Radar Based on Spatial Smoothing by Autocorrelation and Cross-correlation Matrix

2018 International Computers, Signals and Systems Conference (ICOMSSC) ◽

10.1109/icomssc45026.2018.8942018 ◽

2018 ◽

Author(s):

Han Jun ◽

Hao Yuan ◽

Tang Zhikai ◽

Feng Mingyue

Keyword(s):

Correlation Matrix ◽

Cross Correlation ◽

Spatial Smoothing ◽

Vhf Radar

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Properties of Correlated Neural Activity Clusters in Cat Auditory Cortex Resemble Those of Neural Assemblies

Journal of Neurophysiology ◽

10.1152/jn.00059.2006 ◽

2006 ◽

Vol 96 (2) ◽

pp. 746-764 ◽

Cited By ~ 45

Author(s):

Jos J. Eggermont

Keyword(s):

Auditory Cortex ◽

Spike Activity ◽

Correlation Matrix ◽

Cross Correlation ◽

Receptive Fields ◽

Primary Auditory Cortex ◽

Simultaneous Recording ◽

Electrode Arrays ◽

Tone Stimulus ◽

Neural Assemblies

Spiking activity was recorded from cat auditory cortex using multi-electrode arrays. Cross-correlograms were calculated for spikes recorded on separate microelectrodes. The pair-wise cross-correlation matrix was constructed for the peak values of the correlograms. Hierarchical clustering was performed on the cross-correlation matrix for six stimulus conditions. These were silence, three multi-tone stimulus ensembles with different spectral densities, low-pass amplitude-modulated noise, and Poisson-distributed click trains that each lasted 15 min. The resulting neuron clusters reflect patches in cortex of up to several mm2 in size that expand and contract in response to different stimuli. Cluster positions and size were very similar for spontaneous activity and multi-tone stimulus-evoked activity but differed between those conditions and the noise and click stimuli. Cluster size was significantly larger in posterior auditory field (PAF) compared with primary auditory cortex (AI), whereas the fraction of common spikes (within a 10-ms window) across all electrode activity participating in a cluster was significantly higher in AI compared with PAF. Clusters crossed area boundaries in <5% of the cases were simultaneous recording were made in AI and PAF. Clusters are therefore similar to but not synonymous with the traditional view of neural assemblies. Common-spike spectrotemporal receptive fields (STRFs) were obtained for common-spike activity and all-spike activity within a cluster. Common-spike STRFs had higher signal-to-noise ratio than all-spike STRFs and showed generally spectral and temporal sharpening. The coincident and noncoincident output of the clusters could potentially act in parallel and may serve different modes of stimulus coding.

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