100+ datasets found
  1. S

    Serbia Banking Sector Open Forex Positions: FX Risk Indicator: Gross...

    • dr.ceicdata.com
    • ceicdata.com
    Updated May 15, 2023
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    CEICdata.com (2023). Serbia Banking Sector Open Forex Positions: FX Risk Indicator: Gross Principle [Dataset]. https://www.dr.ceicdata.com/en/serbia/banking-sector-performance-indicators/banking-sector-open-forex-positions-fx-risk-indicator-gross-principle
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    Dataset updated
    May 15, 2023
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Mar 1, 2015 - Dec 1, 2017
    Area covered
    Serbia
    Variables measured
    Performance Indicators
    Description

    Serbia Banking Sector Open Forex Positions: FX Risk Indicator: Gross Principle data was reported at 3.180 % in Jun 2018. This records a decrease from the previous number of 3.470 % for Mar 2018. Serbia Banking Sector Open Forex Positions: FX Risk Indicator: Gross Principle data is updated quarterly, averaging 3.925 % from Sep 2008 (Median) to Jun 2018, with 40 observations. The data reached an all-time high of 8.280 % in Sep 2008 and a record low of 2.600 % in Jun 2017. Serbia Banking Sector Open Forex Positions: FX Risk Indicator: Gross Principle data remains active status in CEIC and is reported by National Bank of Serbia. The data is categorized under Global Database’s Serbia – Table RS.KB011: Banking Sector Performance Indicators. Starting from Q4 2011, National Bank of Serbia (NBS) changed the calculation methodology of the FX ratio. It is now calculated on a gross basis where NBS adds up all the gross long and short positions, regardless of the net position in each currency; the larger of the two is put in relation to regulatory capital. Prior to that, the FX ratio has been calculated on a net basis where in each currency the NBS determined the net position first (i.e. net long/short) and consequently all net long and short positions were summed up. The larger of two has been put in relation to regulatory capital.

  2. T

    LEADING ECONOMIC INDEX by Country Dataset

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 26, 2017
    + more versions
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    TRADING ECONOMICS (2017). LEADING ECONOMIC INDEX by Country Dataset [Dataset]. https://tradingeconomics.com/country-list/leading-economic-index
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    json, csv, xml, excelAvailable download formats
    Dataset updated
    May 26, 2017
    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
    2025
    Area covered
    World
    Description

    This dataset provides values for LEADING ECONOMIC INDEX reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

  3. Forex Factory Economic Data Entire Dataset

    • kaggle.com
    Updated Aug 17, 2024
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    Randell Tsen (2024). Forex Factory Economic Data Entire Dataset [Dataset]. https://www.kaggle.com/datasets/randelltsen/forex-factory-entire-dataset-till-2024-08-16
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 17, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Randell Tsen
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    Data

    • Directly from Forex Factory
    • Data are cleaned.

    Removed rows:

    • Invalid datetime, e.g. 29th-2nd.
    • Invalid numeric values, e.g. bond auction (4.31|2.3), vote (pass / No / 0-5-4), etc.

    Notes:

    • datetime is in UTC.
    • Time of 'All Day', 'Day n', 'Tentative', 'n Data' are assumed to be 00:00.
    • Values of '<0.25', etc. are assumed to be the value of the range, i.e. 0.25 in this case.

    Structure

    Table NameDescription
    idUnique identifier
    datetimeDate and Time of the event
    currencyCurrency affected
    eventName of the event
    impactImpact of the event
    actual / forecast / previousValue of the event
    actual_unit / forecast_unit / previous_unitUnit of the value
    previous_revisedIndicates whether the actual value of the previous datetime of the same event was changed
  4. I

    Indonesia Money Market: Forex: Domestic Interbank (In USD Currency):...

    • ceicdata.com
    Updated Jan 1, 2024
    + more versions
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    CEICdata.com (2024). Indonesia Money Market: Forex: Domestic Interbank (In USD Currency): Transaction Frequency Daily Average: All Tenor [Dataset]. https://www.ceicdata.com/en/indonesia/financial-system-statistics-money-market-sector
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    Dataset updated
    Jan 1, 2024
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Feb 1, 2024 - Jan 1, 2025
    Area covered
    Indonesia
    Description

    Money Market: Forex: Domestic Interbank (In USD Currency): Transaction Frequency Daily Average: All Tenor data was reported at 38.250 Unit mn in Feb 2025. This records an increase from the previous number of 28.632 Unit mn for Jan 2025. Money Market: Forex: Domestic Interbank (In USD Currency): Transaction Frequency Daily Average: All Tenor data is updated monthly, averaging 23.886 Unit mn from Jan 2013 (Median) to Feb 2025, with 146 observations. The data reached an all-time high of 43.857 Unit mn in Jun 2014 and a record low of 6.409 Unit mn in Sep 2021. Money Market: Forex: Domestic Interbank (In USD Currency): Transaction Frequency Daily Average: All Tenor data remains active status in CEIC and is reported by Bank Indonesia. The data is categorized under Indonesia Premium Database’s Monetary – Table ID.KAI019: Financial System Statistics: Money Market Sector.

  5. I

    Indonesia Money Market: Forex: Overseas Interbank (In USD Currency):...

    • ceicdata.com
    Updated Jan 1, 2024
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    CEICdata.com (2024). Indonesia Money Market: Forex: Overseas Interbank (In USD Currency): Transaction Volume Daily Average: 1 Month [Dataset]. https://www.ceicdata.com/en/indonesia/financial-system-statistics-money-market-sector
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    Dataset updated
    Jan 1, 2024
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Feb 1, 2024 - Jan 1, 2025
    Area covered
    Indonesia
    Description

    Money Market: Forex: Overseas Interbank (In USD Currency): Transaction Volume Daily Average: 1 Month data was reported at 340,350.000 USD th in Feb 2025. This records an increase from the previous number of 67,105.263 USD th for Jan 2025. Money Market: Forex: Overseas Interbank (In USD Currency): Transaction Volume Daily Average: 1 Month data is updated monthly, averaging 61,009.500 USD th from Jan 2013 (Median) to Feb 2025, with 146 observations. The data reached an all-time high of 405,833.333 USD th in Feb 2024 and a record low of 14,262.625 USD th in Jun 2017. Money Market: Forex: Overseas Interbank (In USD Currency): Transaction Volume Daily Average: 1 Month data remains active status in CEIC and is reported by Bank Indonesia. The data is categorized under Indonesia Premium Database’s Monetary – Table ID.KAI019: Financial System Statistics: Money Market Sector.

  6. C

    China CN: Foreign Exchange Turnover: Currency Pair: USD/JPY

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). China CN: Foreign Exchange Turnover: Currency Pair: USD/JPY [Dataset]. https://www.ceicdata.com/en/china/china-foreign-exchange-trading-center-cfetc-foreign-currency-pair-trading/cn-foreign-exchange-turnover-currency-pair-usdjpy
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Apr 1, 2020 - Mar 1, 2021
    Area covered
    China
    Variables measured
    Turnover
    Description

    China Foreign Exchange Turnover: Currency Pair: USD/JPY data was reported at 27,853.000 RMB mn in Mar 2021. This records an increase from the previous number of 16,348.000 RMB mn for Feb 2021. China Foreign Exchange Turnover: Currency Pair: USD/JPY data is updated monthly, averaging 16,348.000 RMB mn from Jan 2017 (Median) to Mar 2021, with 51 observations. The data reached an all-time high of 33,024.000 RMB mn in Mar 2020 and a record low of 5,493.000 RMB mn in Feb 2018. China Foreign Exchange Turnover: Currency Pair: USD/JPY data remains active status in CEIC and is reported by China Foreign Exchange Trading Center. The data is categorized under China Premium Database’s Money Market, Interest Rate, Yield and Exchange Rate – Table CN.MD: China Foreign Exchange Trading Center (CFETC): Foreign Currency Pair Trading.

  7. I

    Indonesia Forex: Aggregate Transaction: Options: Put

    • ceicdata.com
    + more versions
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    CEICdata.com, Indonesia Forex: Aggregate Transaction: Options: Put [Dataset]. https://www.ceicdata.com/en/indonesia/foreign-exchange-transaction/forex-aggregate-transaction-options-put
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    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Aug 6, 2019 - Aug 21, 2019
    Area covered
    Indonesia
    Description

    Indonesia Forex: Aggregate Transaction: Options: Put data was reported at 13.329 USD mn in 21 Aug 2019. This records an increase from the previous number of 5.641 USD mn for 20 Aug 2019. Indonesia Forex: Aggregate Transaction: Options: Put data is updated daily, averaging 3.059 USD mn from Jan 2017 (Median) to 21 Aug 2019, with 632 observations. The data reached an all-time high of 23.723 USD mn in 03 Apr 2018 and a record low of 0.000 USD mn in 04 Feb 2019. Indonesia Forex: Aggregate Transaction: Options: Put data remains active status in CEIC and is reported by Bank of Indonesia. The data is categorized under Indonesia Premium Database’s Financial Market – Table ID.ZE001: Foreign Exchange Transaction.

  8. Hong Kong SAR, China Real Effective Exchange Rate: Period Average: Trade...

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Hong Kong SAR, China Real Effective Exchange Rate: Period Average: Trade Weighted [Dataset]. https://www.ceicdata.com/en/hong-kong/forex-and-effective-exchange-rate-index/real-effective-exchange-rate-period-average-trade-weighted
    Explore at:
    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2010 - Nov 1, 2011
    Area covered
    Hong Kong
    Variables measured
    Effective Exchange Rate
    Description

    Hong Kong Real Effective Exchange Rate: Period Average: Trade Weighted data was reported at 71.072 Jan2000=100 in Nov 2011. This records an increase from the previous number of 70.886 Jan2000=100 for Oct 2011. Hong Kong Real Effective Exchange Rate: Period Average: Trade Weighted data is updated monthly, averaging 82.396 Jan2000=100 from Jan 2000 (Median) to Nov 2011, with 143 observations. The data reached an all-time high of 101.203 Jan2000=100 in Jul 2001 and a record low of 67.858 Jan2000=100 in Aug 2011. Hong Kong Real Effective Exchange Rate: Period Average: Trade Weighted data remains active status in CEIC and is reported by Hong Kong Monetary Authority. The data is categorized under Global Database’s Hong Kong SAR – Table HK.M006: Forex and Effective Exchange Rate Index. Rebased from Jan2000=100 to Jan2010=100 Replacement series ID: 321661301

  9. Ukraine Forex: NBU: End of Month: US Dollar

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Ukraine Forex: NBU: End of Month: US Dollar [Dataset]. https://www.ceicdata.com/en/ukraine/foreign-exchange-rate/forex-nbu-end-of-month-us-dollar
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Aug 1, 2017 - Jul 1, 2018
    Area covered
    Ukraine
    Variables measured
    Foreign Exchange Rate
    Description

    Ukraine Forex: NBU: End of Month: US Dollar data was reported at 2,839.093 UAH/100 USD in Nov 2018. This records an increase from the previous number of 2,816.444 UAH/100 USD for Oct 2018. Ukraine Forex: NBU: End of Month: US Dollar data is updated monthly, averaging 541.440 UAH/100 USD from Jan 1996 (Median) to Nov 2018, with 275 observations. The data reached an all-time high of 2,839.093 UAH/100 USD in Nov 2018 and a record low of 176.000 UAH/100 USD in Sep 1996. Ukraine Forex: NBU: End of Month: US Dollar data remains active status in CEIC and is reported by National Bank of Ukraine. The data is categorized under Global Database’s Ukraine – Table UA.M009: Foreign Exchange Rate.

  10. S

    Serbia Forex Market: Turnover: Foreign Exchange: Between Banks & Non...

    • ceicdata.com
    + more versions
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    CEICdata.com (2019). Serbia Forex Market: Turnover: Foreign Exchange: Between Banks & Non Residents [Dataset]. https://www.ceicdata.com/en/serbia/foreign-exchange-market-turnover/forex-market-turnover-foreign-exchange-between-banks--non-residents
    Explore at:
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Jun 1, 2017 - May 1, 2018
    Area covered
    Serbia
    Variables measured
    Turnover
    Description

    Serbia Forex Market: Turnover: Foreign Exchange: Between Banks & Non Residents data was reported at 3,470.422 EUR mn in Oct 2018. This records an increase from the previous number of 2,980.553 EUR mn for Sep 2018. Serbia Forex Market: Turnover: Foreign Exchange: Between Banks & Non Residents data is updated monthly, averaging 2,764.105 EUR mn from Jan 2009 (Median) to Oct 2018, with 118 observations. The data reached an all-time high of 6,109.818 EUR mn in Jan 2018 and a record low of 783.892 EUR mn in Jun 2009. Serbia Forex Market: Turnover: Foreign Exchange: Between Banks & Non Residents data remains active status in CEIC and is reported by National Bank of Serbia. The data is categorized under Global Database’s Serbia – Table RS.Z005: Foreign Exchange Market: Turnover.

  11. Hong Kong SAR, China Effective Exchange Rate: Trade Weighted

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Hong Kong SAR, China Effective Exchange Rate: Trade Weighted [Dataset]. https://www.ceicdata.com/en/hong-kong/forex-and-effective-exchange-rate-index/effective-exchange-rate-trade-weighted
    Explore at:
    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Jan 1, 2001 - Dec 1, 2001
    Area covered
    Hong Kong
    Variables measured
    Effective Exchange Rate
    Description

    Hong Kong Effective Exchange Rate: Trade Weighted data was reported at 141.100 Nov1983=100 in Dec 2001. This records an increase from the previous number of 139.800 Nov1983=100 for Nov 2001. Hong Kong Effective Exchange Rate: Trade Weighted data is updated monthly, averaging 131.835 Nov1983=100 from Feb 1994 (Median) to Dec 2001, with 95 observations. The data reached an all-time high of 141.100 Nov1983=100 in Dec 2001 and a record low of 118.100 Nov1983=100 in May 1995. Hong Kong Effective Exchange Rate: Trade Weighted data remains active status in CEIC and is reported by Hong Kong Monetary Authority. The data is categorized under Global Database’s Hong Kong SAR – Table HK.M006: Forex and Effective Exchange Rate Index.

  12. Ukraine Forex: NBU: Monthly Avg: SDR

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Ukraine Forex: NBU: Monthly Avg: SDR [Dataset]. https://www.ceicdata.com/en/ukraine/foreign-exchange-rate/forex-nbu-monthly-avg-sdr
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Aug 1, 2017 - Jul 1, 2018
    Area covered
    Ukraine
    Variables measured
    Foreign Exchange Rate
    Description

    Ukraine Forex: NBU: Monthly Avg: SDR data was reported at 3,868.173 UAH/100 XDR in Nov 2018. This records a decrease from the previous number of 3,913.794 UAH/100 XDR for Oct 2018. Ukraine Forex: NBU: Monthly Avg: SDR data is updated monthly, averaging 785.018 UAH/100 XDR from Jan 1996 (Median) to Nov 2018, with 275 observations. The data reached an all-time high of 4,083.224 UAH/100 XDR in Jan 2018 and a record low of 251.770 UAH/100 XDR in Aug 1997. Ukraine Forex: NBU: Monthly Avg: SDR data remains active status in CEIC and is reported by National Bank of Ukraine. The data is categorized under Global Database’s Ukraine – Table UA.M009: Foreign Exchange Rate.

  13. C

    Czech Republic Forex: CNB: Former EMU Currency: Greek Drachma

    • ceicdata.com
    Updated Mar 15, 2023
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    CEICdata.com (2023). Czech Republic Forex: CNB: Former EMU Currency: Greek Drachma [Dataset]. https://www.ceicdata.com/en/czech-republic/foreign-exchange-rate/forex-cnb-former-emu-currency-greek-drachma
    Explore at:
    Dataset updated
    Mar 15, 2023
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Mar 1, 2024 - Feb 1, 2025
    Area covered
    Czechia
    Variables measured
    Foreign Exchange Rate
    Description

    Czech Republic Forex: CNB: Former EMU Currency: Greek Drachma data was reported at 7.316 100 GRD/CZK in Apr 2025. This records a decrease from the previous number of 7.326 100 GRD/CZK for Mar 2025. Czech Republic Forex: CNB: Former EMU Currency: Greek Drachma data is updated monthly, averaging 8.049 100 GRD/CZK from Jan 1993 (Median) to Apr 2025, with 388 observations. The data reached an all-time high of 13.547 100 GRD/CZK in Jan 1993 and a record low of 6.894 100 GRD/CZK in Mar 2023. Czech Republic Forex: CNB: Former EMU Currency: Greek Drachma data remains active status in CEIC and is reported by Czech National Bank. The data is categorized under Global Database’s Czech Republic – Table CZ.M011: Foreign Exchange Rate.

  14. Ukraine Forex: NBU: Annual Average: US Dollar

    • ceicdata.com
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    CEICdata.com, Ukraine Forex: NBU: Annual Average: US Dollar [Dataset]. https://www.ceicdata.com/en/ukraine/foreign-exchange-rate-annual/forex-nbu-annual-average-us-dollar
    Explore at:
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2006 - Dec 1, 2017
    Area covered
    Ukraine
    Variables measured
    Foreign Exchange Rate
    Description

    Ukraine Forex: NBU: Annual Average: US Dollar data was reported at 2,659.661 UAH/100 USD in 2017. This records an increase from the previous number of 2,555.133 UAH/100 USD for 2016. Ukraine Forex: NBU: Annual Average: US Dollar data is updated yearly, averaging 535.240 UAH/100 USD from Dec 1996 (Median) to 2017, with 22 observations. The data reached an all-time high of 2,659.661 UAH/100 USD in 2017 and a record low of 182.950 UAH/100 USD in 1996. Ukraine Forex: NBU: Annual Average: US Dollar data remains active status in CEIC and is reported by National Bank of Ukraine. The data is categorized under Global Database’s Ukraine – Table UA.M010: Foreign Exchange Rate: Annual.

  15. Ukraine Forex: NBU: Monthly Avg: Kazakh Tenge

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Ukraine Forex: NBU: Monthly Avg: Kazakh Tenge [Dataset]. https://www.ceicdata.com/en/ukraine/foreign-exchange-rate/forex-nbu-monthly-avg-kazakh-tenge
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Aug 1, 2017 - Jul 1, 2018
    Area covered
    Ukraine
    Variables measured
    Foreign Exchange Rate
    Description

    Ukraine Forex: NBU: Monthly Avg: Kazakh Tenge data was reported at 7.546 UAH/100 KZT in Nov 2018. This records a decrease from the previous number of 7.657 UAH/100 KZT for Oct 2018. Ukraine Forex: NBU: Monthly Avg: Kazakh Tenge data is updated monthly, averaging 4.140 UAH/100 KZT from Jan 1996 (Median) to Nov 2018, with 275 observations. The data reached an all-time high of 13.237 UAH/100 KZT in Feb 2015 and a record low of 2.430 UAH/100 KZT in May 1997. Ukraine Forex: NBU: Monthly Avg: Kazakh Tenge data remains active status in CEIC and is reported by National Bank of Ukraine. The data is categorized under Global Database’s Ukraine – Table UA.M009: Foreign Exchange Rate.

  16. H

    Hong Kong SAR, China Effective Exchange Rate: Period Avg: Trade Weighted

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Hong Kong SAR, China Effective Exchange Rate: Period Avg: Trade Weighted [Dataset]. https://www.ceicdata.com/en/hong-kong/forex-and-effective-exchange-rate-index/effective-exchange-rate-period-avg-trade-weighted
    Explore at:
    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    May 1, 2017 - Apr 1, 2018
    Area covered
    Hong Kong
    Variables measured
    Effective Exchange Rate
    Description

    Hong Kong Effective Exchange Rate: Period Avg: Trade Weighted data was reported at 105.500 Jan2010=100 in Oct 2018. This records an increase from the previous number of 104.500 Jan2010=100 for Sep 2018. Hong Kong Effective Exchange Rate: Period Avg: Trade Weighted data is updated monthly, averaging 105.100 Jan2010=100 from Jan 1975 (Median) to Oct 2018, with 526 observations. The data reached an all-time high of 144.800 Jan2010=100 in Feb 1977 and a record low of 83.900 Jan2010=100 in Oct 1983. Hong Kong Effective Exchange Rate: Period Avg: Trade Weighted data remains active status in CEIC and is reported by Hong Kong Monetary Authority. The data is categorized under Global Database’s Hong Kong – Table HK.M006: Forex and Effective Exchange Rate Index.

  17. Ukraine Forex: NBU: End of Month: SDR

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Ukraine Forex: NBU: End of Month: SDR [Dataset]. https://www.ceicdata.com/en/ukraine/foreign-exchange-rate/forex-nbu-end-of-month-sdr
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Aug 1, 2017 - Jul 1, 2018
    Area covered
    Ukraine
    Variables measured
    Foreign Exchange Rate
    Description

    Ukraine Forex: NBU: End of Month: SDR data was reported at 3,927.339 UAH/100 XDR in Nov 2018. This records an increase from the previous number of 3,892.782 UAH/100 XDR for Oct 2018. Ukraine Forex: NBU: End of Month: SDR data is updated monthly, averaging 789.024 UAH/100 XDR from Jan 1996 (Median) to Nov 2018, with 275 observations. The data reached an all-time high of 4,075.713 UAH/100 XDR in Jan 2018 and a record low of 249.590 UAH/100 XDR in Apr 1997. Ukraine Forex: NBU: End of Month: SDR data remains active status in CEIC and is reported by National Bank of Ukraine. The data is categorized under Global Database’s Ukraine – Table UA.M009: Foreign Exchange Rate.

  18. Ukraine Forex: NBU: Annual Average: Euro

    • ceicdata.com
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    CEICdata.com, Ukraine Forex: NBU: Annual Average: Euro [Dataset]. https://www.ceicdata.com/en/ukraine/foreign-exchange-rate-annual/forex-nbu-annual-average-euro
    Explore at:
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2006 - Dec 1, 2017
    Area covered
    Ukraine
    Variables measured
    Foreign Exchange Rate
    Description

    Ukraine Forex: NBU: Annual Average: Euro data was reported at 3,000.416 UAH/100 EUR in 2017. This records an increase from the previous number of 2,829.193 UAH/100 EUR for 2016. Ukraine Forex: NBU: Annual Average: Euro data is updated yearly, averaging 676.365 UAH/100 EUR from Dec 1996 (Median) to 2017, with 22 observations. The data reached an all-time high of 3,000.416 UAH/100 EUR in 2017 and a record low of 211.290 UAH/100 EUR in 1997. Ukraine Forex: NBU: Annual Average: Euro data remains active status in CEIC and is reported by National Bank of Ukraine. The data is categorized under Global Database’s Ukraine – Table UA.M010: Foreign Exchange Rate: Annual.

  19. Ukraine Forex: NBU: Monthly Avg: Hungarian Forint

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Ukraine Forex: NBU: Monthly Avg: Hungarian Forint [Dataset]. https://www.ceicdata.com/en/ukraine/foreign-exchange-rate/forex-nbu-monthly-avg-hungarian-forint
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Aug 1, 2017 - Jul 1, 2018
    Area covered
    Ukraine
    Variables measured
    Foreign Exchange Rate
    Description

    Ukraine Forex: NBU: Monthly Avg: Hungarian Forint data was reported at 94.901 UAH/1000 HUF in Jul 2018. This records a decrease from the previous number of 95.278 UAH/1000 HUF for Jun 2018. Ukraine Forex: NBU: Monthly Avg: Hungarian Forint data is updated monthly, averaging 29.595 UAH/1000 HUF from Apr 1998 (Median) to Jul 2018, with 244 observations. The data reached an all-time high of 111.890 UAH/1000 HUF in Jan 2018 and a record low of 9.600 UAH/1000 HUF in Jun 1998. Ukraine Forex: NBU: Monthly Avg: Hungarian Forint data remains active status in CEIC and is reported by National Bank of Ukraine. The data is categorized under Global Database’s Ukraine – Table UA.M009: Foreign Exchange Rate.

  20. I

    Indonesia Forex: Aggregate Transaction: Options: Put: Foreign...

    • ceicdata.com
    Updated Jan 9, 2021
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    CEICdata.com (2021). Indonesia Forex: Aggregate Transaction: Options: Put: Foreign Currency-Foreign Currency: 3 months [Dataset]. https://www.ceicdata.com/en/indonesia/foreign-exchange-transaction/forex-aggregate-transaction-options-put-foreign-currencyforeign-currency-3-months
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    Dataset updated
    Jan 9, 2021
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Aug 6, 2019 - Aug 21, 2019
    Area covered
    Indonesia
    Description

    Indonesia Forex: Aggregate Transaction: Options: Put: Foreign Currency-Foreign Currency: 3 months data was reported at 0.000 USD mn in 21 Aug 2019. This stayed constant from the previous number of 0.000 USD mn for 20 Aug 2019. Indonesia Forex: Aggregate Transaction: Options: Put: Foreign Currency-Foreign Currency: 3 months data is updated daily, averaging 0.000 USD mn from Jan 2017 (Median) to 21 Aug 2019, with 632 observations. The data reached an all-time high of 15.006 USD mn in 30 Aug 2017 and a record low of 0.000 USD mn in 21 Aug 2019. Indonesia Forex: Aggregate Transaction: Options: Put: Foreign Currency-Foreign Currency: 3 months data remains active status in CEIC and is reported by Bank of Indonesia. The data is categorized under Indonesia Premium Database’s Financial Market – Table ID.ZE001: Foreign Exchange Transaction.

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CEICdata.com (2023). Serbia Banking Sector Open Forex Positions: FX Risk Indicator: Gross Principle [Dataset]. https://www.dr.ceicdata.com/en/serbia/banking-sector-performance-indicators/banking-sector-open-forex-positions-fx-risk-indicator-gross-principle

Serbia Banking Sector Open Forex Positions: FX Risk Indicator: Gross Principle

Explore at:
Dataset updated
May 15, 2023
Dataset provided by
CEICdata.com
License

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

Time period covered
Mar 1, 2015 - Dec 1, 2017
Area covered
Serbia
Variables measured
Performance Indicators
Description

Serbia Banking Sector Open Forex Positions: FX Risk Indicator: Gross Principle data was reported at 3.180 % in Jun 2018. This records a decrease from the previous number of 3.470 % for Mar 2018. Serbia Banking Sector Open Forex Positions: FX Risk Indicator: Gross Principle data is updated quarterly, averaging 3.925 % from Sep 2008 (Median) to Jun 2018, with 40 observations. The data reached an all-time high of 8.280 % in Sep 2008 and a record low of 2.600 % in Jun 2017. Serbia Banking Sector Open Forex Positions: FX Risk Indicator: Gross Principle data remains active status in CEIC and is reported by National Bank of Serbia. The data is categorized under Global Database’s Serbia – Table RS.KB011: Banking Sector Performance Indicators. Starting from Q4 2011, National Bank of Serbia (NBS) changed the calculation methodology of the FX ratio. It is now calculated on a gross basis where NBS adds up all the gross long and short positions, regardless of the net position in each currency; the larger of the two is put in relation to regulatory capital. Prior to that, the FX ratio has been calculated on a net basis where in each currency the NBS determined the net position first (i.e. net long/short) and consequently all net long and short positions were summed up. The larger of two has been put in relation to regulatory capital.

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