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  1. Article: Power law in COVID-19 cases in China.

    Ahundjanov, Behzod B / Akhundjanov, Sherzod B / Okhunjanov, Botir B

    Journal of the Royal Statistical Society. Series A, (Statistics in Society)

    2022  Volume 185, Issue 2, Page(s) 699–719

    Abstract: The novel coronavirus (COVID-19) was first identified in China in December 2019. Within a short period of time, the infectious disease has spread far and wide. This study focuses on the distribution of COVID-19 confirmed cases in China-the original ... ...

    Abstract The novel coronavirus (COVID-19) was first identified in China in December 2019. Within a short period of time, the infectious disease has spread far and wide. This study focuses on the distribution of COVID-19 confirmed cases in China-the original epicentre of the outbreak. We show that the upper tail of COVID-19 cases in Chinese cities is well described by a power law distribution, with exponent around one in the early phases of the outbreak (when the number of cases was growing rapidly) and less than one thereafter. This finding is significant because it implies that (i) COVID-19 cases in China is heavy tailed and disperse; (ii) a few cities account for a disproportionate share of COVID-19 cases; and (iii) the distribution generally has no finite mean or variance. We find that a proportionate random growth model predicated by Gibrat's law offers a plausible explanation for the emergence of a power law in the distribution of COVID-19 cases in Chinese cities in the early phases of the outbreak.
    Language English
    Publishing date 2022-03-11
    Publishing country England
    Document type Journal Article
    ZDB-ID 1490715-X
    ISSN 1467-985X ; 0964-1998 ; 0035-9238
    ISSN (online) 1467-985X
    ISSN 0964-1998 ; 0035-9238
    DOI 10.1111/rssa.12800
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Risk perception and oil and gasoline markets under COVID-19.

    Ahundjanov, Behzod B / Akhundjanov, Sherzod B / Okhunjanov, Botir B

    Journal of economics and business

    2021  Volume 115, Page(s) 105979

    Abstract: The novel coronavirus (COVID-19) exposed individuals to a great uncertainty about its health and economic ramifications, especially in the early days and weeks of the outbreak. This study documents oil and gasoline market implications of individuals' ... ...

    Abstract The novel coronavirus (COVID-19) exposed individuals to a great uncertainty about its health and economic ramifications, especially in the early days and weeks of the outbreak. This study documents oil and gasoline market implications of individuals' behavior upon such uncertainty by analyzing the relationship between Google search queries related to COVID-19-information search that reflects one's level of concern about the subject (risk perception)-and the performance of oil and gasoline markets during the pandemic. The empirical analysis based on daily data and a structural vector autoregressive model reveals that a unit increase in the popularity of COVID-19 related global search queries, after controlling for COVID-19 cases, results in 0.083% and 0.104% of a cumulative decline in Dow Jones US Oil & Gas Total index and New York Harbor Conventional Gasoline Regular spot price, respectively, after one day, 0.189% and 0.234% of a cumulative decline after one week, and 0.191% and 0.237% of a cumulative decline after two weeks. The reaction of Brent and West Texas Intermediate crude oil prices to the spike in COVID-19 related online searches is found to be statistically insignificant, which can be explained by oil price pass-through into gasoline spot price.
    Language English
    Publishing date 2021-01-04
    Publishing country United States
    Document type Journal Article
    ISSN 0148-6195
    ISSN 0148-6195
    DOI 10.1016/j.jeconbus.2020.105979
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Information Search and Financial Markets under COVID-19.

    Ahundjanov, Behzod B / Akhundjanov, Sherzod B / Okhunjanov, Botir B

    Entropy (Basel, Switzerland)

    2020  Volume 22, Issue 7

    Abstract: The discovery and sudden spread of the novel coronavirus (COVID-19) exposed individuals to a great uncertainty about the potential health and economic ramifications of the virus, which triggered a surge in demand for information about COVID-19. To ... ...

    Abstract The discovery and sudden spread of the novel coronavirus (COVID-19) exposed individuals to a great uncertainty about the potential health and economic ramifications of the virus, which triggered a surge in demand for information about COVID-19. To understand financial market implications of individuals' behavior upon such uncertainty, we explore the relationship between Google search queries related to COVID-19-information search that reflects one's level of concern or risk perception-and the performance of major financial indices. The empirical analysis based on the Bayesian inference of a structural vector autoregressive model shows that one unit increase in the popularity of COVID-19-related global search queries, after controlling for COVID-19 cases, results in 0.038 - 0.069 % of a cumulative decline in global financial indices after one day and 0.054 - 0.150 % of a cumulative decline after one week.
    Language English
    Publishing date 2020-07-20
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2014734-X
    ISSN 1099-4300 ; 1099-4300
    ISSN (online) 1099-4300
    ISSN 1099-4300
    DOI 10.3390/e22070791
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Information Search and Financial Markets under COVID-19

    Behzod B. Ahundjanov / Sherzod B. Akhundjanov / Botir B. Okhunjanov

    Entropy, Vol 22, Iss 791, p

    2020  Volume 791

    Abstract: The discovery and sudden spread of the novel coronavirus (COVID-19) exposed individuals to a great uncertainty about the potential health and economic ramifications of the virus, which triggered a surge in demand for information about COVID-19. To ... ...

    Abstract The discovery and sudden spread of the novel coronavirus (COVID-19) exposed individuals to a great uncertainty about the potential health and economic ramifications of the virus, which triggered a surge in demand for information about COVID-19. To understand financial market implications of individuals’ behavior upon such uncertainty, we explore the relationship between Google search queries related to COVID-19—information search that reflects one’s level of concern or risk perception—and the performance of major financial indices. The empirical analysis based on the Bayesian inference of a structural vector autoregressive model shows that one unit increase in the popularity of COVID-19-related global search queries, after controlling for COVID-19 cases, results in <math display="inline"> <semantics> <mrow> <mn>0.038</mn> </mrow> </semantics> </math> – <math display="inline"> <semantics> <mrow> <mn>0.069</mn> </mrow> </semantics> </math> % of a cumulative decline in global financial indices after one day and <math display="inline"> <semantics> <mrow> <mn>0.054</mn> </mrow> </semantics> </math> – <math display="inline"> <semantics> <mrow> <mn>0.150</mn> </mrow> </semantics> </math> % of a cumulative decline after one week.
    Keywords COVID-19 ; information ; Google trends ; risk perception ; financial markets ; SVAR ; Science ; Q ; Astrophysics ; QB460-466 ; Physics ; QC1-999
    Subject code 511
    Language English
    Publishing date 2020-07-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article: Information Search and Financial Markets under COVID-19

    Ahundjanov, Behzod B. / Akhundjanov, Sherzod B. / Okhunjanov, Botir B.

    Entropy

    Abstract: The discovery and sudden spread of the novel coronavirus (COVID-19) exposed individuals to a great uncertainty about the potential health and economic ramifications of the virus, which triggered a surge in demand for information about COVID-19 To ... ...

    Abstract The discovery and sudden spread of the novel coronavirus (COVID-19) exposed individuals to a great uncertainty about the potential health and economic ramifications of the virus, which triggered a surge in demand for information about COVID-19 To understand financial market implications of individuals’behavior upon such uncertainty, we explore the relationship between Google search queries related to COVID-19—information search that reflects one’s level of concern or risk perception—and the performance of major financial indices The empirical analysis based on the Bayesian inference of a structural vector autoregressive model shows that one unit increase in the popularity of COVID-19-related global search queries, after controlling for COVID-19 cases, results in 0 038 –0 069 % of a cumulative decline in global financial indices after one day and 0 054 –0 150 % of a cumulative decline after one week
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #652742
    Database COVID19

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  6. Article ; Online: Power Law in COVID-19 Cases in China

    Ahundjanov, Behzod B. / Akhundjanov, Sherzod B. / Okhunjanov, Botir B.

    medRxiv

    Abstract: The novel coronavirus (COVID-19) was first identified in China in December 2019. Within a short period of time, the infectious disease has spread far and wide. This study focuses on the distribution of COVID-19 confirmed cases in China---the original ... ...

    Abstract The novel coronavirus (COVID-19) was first identified in China in December 2019. Within a short period of time, the infectious disease has spread far and wide. This study focuses on the distribution of COVID-19 confirmed cases in China---the original epicenter of the outbreak. We show that the upper tail of COVID-19 cases in Chinese cities is well described by a power law distribution, with exponent less than one, and that a random proportionate growth model predicated by Gibrat9s law is a plausible explanation for the emergence of the observed power law behavior. This finding is significant because it implies that COVID-19 cases in China is heavy-tailed and disperse, that a few cities account for a disproportionate share of COVID-19 cases, and that the distribution has no finite mean or variance. The power-law distributedness has implications for effective planning and policy design as well as efficient use of government resources.
    Keywords covid19
    Language English
    Publishing date 2020-07-27
    Publisher Cold Spring Harbor Laboratory Press
    Document type Article ; Online
    DOI 10.1101/2020.07.25.20161984
    Database COVID19

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  7. Book ; Online: Information Search and Financial Markets Under COVID-19

    Ahundjanov, Behzod B. / Akhundjanov, Sherzod / Okhunjanov, Botir B.

    Applied Economics Faculty Publications

    2020  

    Abstract: The discovery and sudden spread of the novel coronavirus (COVID-19) exposed individuals to a great uncertainty about the potential health and economic ramifications of the virus, which triggered a surge in demand for information about COVID-19. To ... ...

    Abstract The discovery and sudden spread of the novel coronavirus (COVID-19) exposed individuals to a great uncertainty about the potential health and economic ramifications of the virus, which triggered a surge in demand for information about COVID-19. To understand financial market implications of individuals’ behavior upon such uncertainty, we explore the relationship between Google search queries related to COVID-19—information search that reflects one’s level of concern or risk perception—and the performance of major financial indices. The empirical analysis based on the Bayesian inference of a structural vector autoregressive model shows that one unit increase in the popularity of COVID-19-related global search queries, after controlling for COVID-19 cases, results in 0.038 – 0.069% of a cumulative decline in global financial indices after one day and 0.054 – 0.150% of a cumulative decline after one week.
    Keywords COVID-19 ; information ; Google trends ; risk perception ; financial markets ; SVAR ; Economics ; covid19
    Subject code 330
    Publishing date 2020-07-20T07:00:00Z
    Publisher Hosted by Utah State University Libraries
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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