Risk prediction and evaluation of transnational transmission of financial crisis based on complex network
In this paper, the transmission characteristics of financial crisis in stock market are studied based on complex network. The influences factor and propagation model of financial crisis in international stock market are qualitatively analyzed through comprehensive application of the qualitative and...
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| Veröffentlicht in: | Cluster computing 2019-03, Vol.22 (Suppl 2), p.4307-4313 |
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| container_title | Cluster computing |
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| creator | Liu, Chang Arunkumar, N. |
| description | In this paper, the transmission characteristics of financial crisis in stock market are studied based on complex network. The influences factor and propagation model of financial crisis in international stock market are qualitatively analyzed through comprehensive application of the qualitative and quantitative analysis method by taking complex network and communication theory of financial crisis as theoretical basis. Meanwhile, the transmission mechanism, measurement of transmission effect, transmission path and immunization strategy of financial crisis in stock market network are empirically analyzed. |
| doi_str_mv | 10.1007/s10586-018-1870-3 |
| format | Article |
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Meanwhile, the transmission mechanism, measurement of transmission effect, transmission path and immunization strategy of financial crisis in stock market network are empirically analyzed.</description><subject>Communication theory</subject><subject>Computer Communication Networks</subject><subject>Computer Science</subject><subject>Economic crisis</subject><subject>Foreign exchange rates</subject><subject>Global economy</subject><subject>International finance</subject><subject>Operating Systems</subject><subject>Processor Architectures</subject><subject>Qualitative analysis</subject><subject>Recessions</subject><subject>Securities markets</subject><subject>Stock exchanges</subject><subject>Stock market indexes</subject><subject>Time series</subject><subject>Transnationalism</subject><subject>Volatility</subject><issn>1386-7857</issn><issn>1573-7543</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kM1LxDAQxYMouK7-Ad4KnquTpG2Soyx-wYIgeg5pmkh2u23NdP34781uFzx5mnm894bhR8glhWsKIG6QQimrHKjMqRSQ8yMyo6XguSgLfpx2nlwhS3FKzhBXAKAEUzMSXgKusyG6Jtgx9F1muiZzn6bdmr3sfTZG02G3l6ad1CYgHlwfOtPZkBwbAwbMaoOuyZJp-83Quu-sc-NXH9fn5MSbFt3FYc7J2_3d6-IxXz4_PC1ul7nlpRpzYcraOy6Nc5YVTnoPUEkwXnnDTKOK2hcCKkF9JYCBLGzNuKoKKxpaM9nwObma7g6x_9g6HPWq38b0OmqmqGSCKyhTik4pG3vE6LweYtiY-KMp6B1RPRHViajeEdU8ddjUwZTt3l38u_x_6Rc00ns6</recordid><startdate>20190301</startdate><enddate>20190301</enddate><creator>Liu, Chang</creator><creator>Arunkumar, N.</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope></search><sort><creationdate>20190301</creationdate><title>Risk prediction and evaluation of transnational transmission of financial crisis based on complex network</title><author>Liu, Chang ; 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| source | ProQuest Central UK/Ireland; SpringerLink Journals - AutoHoldings; ProQuest Central |
| subjects | Communication theory Computer Communication Networks Computer Science Economic crisis Foreign exchange rates Global economy International finance Operating Systems Processor Architectures Qualitative analysis Recessions Securities markets Stock exchanges Stock market indexes Time series Transnationalism Volatility |
| title | Risk prediction and evaluation of transnational transmission of financial crisis based on complex network |
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