5 datasets found
  1. T

    Japan Stock Market Index (JP225) Data

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Dec 2, 2025
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    TRADING ECONOMICS (2025). Japan Stock Market Index (JP225) Data [Dataset]. https://tradingeconomics.com/japan/stock-market
    Explore at:
    excel, csv, xml, jsonAvailable download formats
    Dataset updated
    Dec 2, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 5, 1965 - Dec 2, 2025
    Area covered
    Japan
    Description

    Japan's main stock market index, the JP225, rose to 49553 points on December 2, 2025, gaining 0.51% from the previous session. Over the past month, the index has declined 3.78%, though it remains 26.25% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from Japan. Japan Stock Market Index (JP225) - values, historical data, forecasts and news - updated on December of 2025.

  2. The crisis of the Japanese economy in the 90s: impacts of the speculative...

    • scielo.figshare.com
    tiff
    Updated Jun 4, 2023
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    ERNANI TEIXEIRA TORRES FILHO (2023). The crisis of the Japanese economy in the 90s: impacts of the speculative bubble [Dataset]. http://doi.org/10.6084/m9.figshare.20278182.v1
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    tiffAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    SciELOhttp://www.scielo.org/
    Authors
    ERNANI TEIXEIRA TORRES FILHO
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Japan
    Description

    ABSTRACT From 1953 to 1992, Japan reached the highest economic growth rates among industrialized countries. This performance was achieved despite two oil shocks and the endaka - the continuous rise of the yen vis-à-vis the dollar. This long-term growth cycle came to a sudden halt in early 90’s. Japanese economy stagnated while other industrialized countries continued growing. This was mainly due to the “economic bubkle” burst. From 1990 to 1992, the value of urban land and of the stock market index were cut to almost half. As a result, Japanese banks accumulated US$ 800 billion performing assets. This paper intends to analyse the Japanese “bubble economy crisis” and its long-term impacts on the Japanese economy, on its financial system and on its bilateral relations with the United States.

  3. Data from: The Souk al-Manakh Crash

    • clevelandfed.org
    Updated Nov 18, 2019
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    Federal Reserve Bank of Cleveland (2019). The Souk al-Manakh Crash [Dataset]. https://www.clevelandfed.org/publications/economic-commentary/2019/ec-201920-kuwait-souk-al-manakh
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    Dataset updated
    Nov 18, 2019
    Dataset authored and provided by
    Federal Reserve Bank of Clevelandhttps://www.clevelandfed.org/
    Description

    From 1978 to 1981, Kuwait’s two stock markets, one the conservatively regulated “official” market and the other the unregulated Souk al-Manakh, exploded in size, growing to the point where the amount of capital actively traded exceeded that of every other country in the world except the United States and Japan. A year later, the system collapsed in an instant, causing huge real losses to the economy and financial disruption lasting nearly a decade. This Commentary examines the emergence of the Souk, the simple financial innovation that evolved to solve its rapidly increasing need for liquidity and credit, and the herculean efforts to solve the tangled problems resulting from the collapse. Two lessons of Kuwait’s crisis are that it is difficult to separate the banking and unregulated financial sectors and that regulators need detailed data on the transactions being conducted at all financial institutions to give them the understanding of the entire network they must have to maintain financial stability. If Kuwaiti officials had had transaction-by-transaction data on the trades being made in both the regulated and unregulated stock markets, then the Kuwaiti crisis and its aftermath might not have been so severe.

  4. f

    S1 Data -

    • figshare.com
    • plos.figshare.com
    xlsx
    Updated Jan 25, 2024
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    Xiaoyang Wang; Hui Guo; Muhammad Waris; Badariah Haji Din (2024). S1 Data - [Dataset]. http://doi.org/10.1371/journal.pone.0296712.s001
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Jan 25, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Xiaoyang Wang; Hui Guo; Muhammad Waris; Badariah Haji Din
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The growing trend of interdependence between the international stock markets indicated the amalgamation of risk across borders that plays a significant role in portfolio diversification by selecting different assets from the financial markets and is also helpful for making extensive economic policy for the economies. By applying different methodologies, this study undertakes the volatility analysis of the emerging and OECD economies and analyzes the co-movement pattern between them. Moreover, with that motive, using the wavelet approach, we provide strong evidence of the short and long-run risk transfer over different time domains from Malaysia to its trading partners. Our findings show that during the Asian financial crisis (1997–98), Malaysia had short- and long-term relationships with China, Germany, Japan, Singapore, the UK, and Indonesia due to both high and low-frequency domains. Meanwhile, after the Global financial crisis (2008–09), it is being observed that Malaysia has long-term and short-term synchronization with emerging (China, India, Indonesia), OECD (Germany, France, USA, UK, Japan, Singapore) stock markets but Pakistan has the low level of co-movement with Malaysian stock market during the global financial crisis (2008–09). Moreover, it is being seen that Malaysia has short-term at both high and low-frequency co-movement with all the emerging and OECD economies except Japan, Singapore, and Indonesia during the COVID-19 period (2020–21). Japan, Singapore, and Indonesia have long-term synchronization relationships with the Malaysian stock market at high and low frequencies during COVID-19. While in a leading-lagging relationship, Malaysia’s stock market risk has both leading and lagging behavior with its trading partners’ stock market risk in the selected period; this behavior changes based on the different trade and investment flow factors. Moreover, DCC-GARCH findings shows that Malaysian market has both short term and long-term synchronization with trading partners except USA. Conspicuously, the integration pattern seems that the cooperation development between stock markets matters rather than the regional proximity in driving the cointegration. The study findings have significant implications for investors, governments, and policymakers around the globe.

  5. Correlation matrix.

    • plos.figshare.com
    xls
    Updated Jan 25, 2024
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    Xiaoyang Wang; Hui Guo; Muhammad Waris; Badariah Haji Din (2024). Correlation matrix. [Dataset]. http://doi.org/10.1371/journal.pone.0296712.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jan 25, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Xiaoyang Wang; Hui Guo; Muhammad Waris; Badariah Haji Din
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The growing trend of interdependence between the international stock markets indicated the amalgamation of risk across borders that plays a significant role in portfolio diversification by selecting different assets from the financial markets and is also helpful for making extensive economic policy for the economies. By applying different methodologies, this study undertakes the volatility analysis of the emerging and OECD economies and analyzes the co-movement pattern between them. Moreover, with that motive, using the wavelet approach, we provide strong evidence of the short and long-run risk transfer over different time domains from Malaysia to its trading partners. Our findings show that during the Asian financial crisis (1997–98), Malaysia had short- and long-term relationships with China, Germany, Japan, Singapore, the UK, and Indonesia due to both high and low-frequency domains. Meanwhile, after the Global financial crisis (2008–09), it is being observed that Malaysia has long-term and short-term synchronization with emerging (China, India, Indonesia), OECD (Germany, France, USA, UK, Japan, Singapore) stock markets but Pakistan has the low level of co-movement with Malaysian stock market during the global financial crisis (2008–09). Moreover, it is being seen that Malaysia has short-term at both high and low-frequency co-movement with all the emerging and OECD economies except Japan, Singapore, and Indonesia during the COVID-19 period (2020–21). Japan, Singapore, and Indonesia have long-term synchronization relationships with the Malaysian stock market at high and low frequencies during COVID-19. While in a leading-lagging relationship, Malaysia’s stock market risk has both leading and lagging behavior with its trading partners’ stock market risk in the selected period; this behavior changes based on the different trade and investment flow factors. Moreover, DCC-GARCH findings shows that Malaysian market has both short term and long-term synchronization with trading partners except USA. Conspicuously, the integration pattern seems that the cooperation development between stock markets matters rather than the regional proximity in driving the cointegration. The study findings have significant implications for investors, governments, and policymakers around the globe.

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TRADING ECONOMICS (2025). Japan Stock Market Index (JP225) Data [Dataset]. https://tradingeconomics.com/japan/stock-market

Japan Stock Market Index (JP225) Data

Japan Stock Market Index (JP225) - Historical Dataset (1965-01-05/2025-12-02)

Explore at:
12 scholarly articles cite this dataset (View in Google Scholar)
excel, csv, xml, jsonAvailable download formats
Dataset updated
Dec 2, 2025
Dataset authored and provided by
TRADING ECONOMICS
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Time period covered
Jan 5, 1965 - Dec 2, 2025
Area covered
Japan
Description

Japan's main stock market index, the JP225, rose to 49553 points on December 2, 2025, gaining 0.51% from the previous session. Over the past month, the index has declined 3.78%, though it remains 26.25% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from Japan. Japan Stock Market Index (JP225) - values, historical data, forecasts and news - updated on December of 2025.

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