This document lists 36 outstanding domestic bond issues in Ukraine as of July 1, 2019. For each bond issue, it provides details such as the issue number, tenor in days, currency, auction and interest payment dates, maturity date, nominal yield, coupon amounts, and outstanding amount. The bonds differ in terms of currency (UAH, USD, EUR), tenor (ranging from 112 to 2,534 days), and annual nominal yields (ranging from 4.12% to 19.50%). The total outstanding amount across all 36 bond issues is over 100 million units of various currencies.
This document lists 50 domestic bond offerings in Ukraine. For each offering it provides the ISIN, tenor in days, currency, auction and interest payment dates, maturity date, nominal yield, coupon amount, and amount outstanding. The bonds have terms ranging from 90 days to over 2,500 days, are denominated in UAH, USD, EUR, and pay interest semi-annually or annually at yields from 3.85% to 20%. Total outstanding across all bonds is over 58 million units of various currencies.
This document lists 47 Ukrainian domestic bond issues outstanding as of August 1, 2019. For each bond, it provides the ISIN, tenor in days, currency, auction and interest payment dates, maturity date, nominal yield, coupon amount, and amount outstanding. The bonds vary in tenor from 119 to 3,724 days, with currencies of UAH, USD, and EUR. Nominal yields range from 3.85% to 19.5% and amounts outstanding range from 100 to 9,950,000 units.
The document lists 41 Ukrainian government bonds with details including: issue ID, tenor in days, currency, auction and interest payment dates, maturity date, nominal yield, coupon amount, and outstanding amount. The bonds range in tenor from 22 days to 2,532 days, with currencies of UAH, USD, and EUR. Nominal yields range from 3.85% to 20.5% and outstanding amounts range from 286,617 units to 6,318,504 units. The document provides a summary of outstanding domestic bonds in Ukraine as of February 1, 2019.
This document lists 38 Ukrainian government bonds, providing details on each such as: tenor, currency, auction date, interest payment dates, maturity date, nominal yield, coupon amount, and amount outstanding. The bonds differ in terms of currency (UAH, USD, EUR), tenor (ranging from 105 to 2,534 days), yield (ranging from 3.95% to 19.5%), and amount outstanding (ranging from 55,420 to 5,765,530 units of the bond's currency).
This document lists 48 Ukrainian domestic bond issues outstanding as of July 1, 2018. It provides details for each bond such as issue date, maturity date, coupon dates, nominal yield, currency, and amount outstanding. The bonds vary in tenor from 90 to 3,365 days and are denominated in UAH, USD, EUR, and other currencies. Over 11 billion units of the bonds from various issues remained outstanding on the date listed.
This document lists 45 domestic bond instruments issued by the Ukrainian government. For each instrument it provides key details such as the tenor in days, currency, auction date, interest payment dates, maturity date, nominal yield, coupon amount, and amount outstanding. The bonds vary in currency (UAH, USD, EUR), tenor (ranging from 126 to 3,365 days), yield (ranging from 3.85% to 20%), and amount outstanding (ranging from 54,422 to 5,593,468 units).
This document lists 47 Ukrainian government bonds, providing details on each such as: tenor (term), currency, auction date, interest payment dates, maturity date, nominal yield, coupon amount, and outstanding amount. Key information included are the unique bond identifier, term ranging from 105 to 3,365 days, currencies which include UAH, USD, EUR, interest payment schedule and rates ranging from 3.85% to 18%, and outstanding amounts in local currency units ranging from 44,239 to 3,576,728.
This document lists 40 Ukrainian domestic bond issues providing details on each such as tenor, currency, auction dates, interest payment dates, maturity dates, nominal yields, coupon amounts, and outstanding instrument amounts. The bonds vary in tenor from 98 to 1820 days, are denominated in UAH, USD, or EUR, and have nominal yields ranging from 3.85% to 19.5%.
This document lists 50 domestic bond offerings in Ukraine. For each offering it provides the ISIN, tenor in days, currency, auction and interest payment dates, maturity date, nominal yield, coupon amount, and amount outstanding. The bonds have terms ranging from 90 days to over 2,500 days, are denominated in UAH, USD, EUR, and pay interest semi-annually or annually at yields from 3.85% to 20%. Total outstanding across all bonds is over 58 million units of various currencies.
This document lists 47 Ukrainian domestic bond issues outstanding as of August 1, 2019. For each bond, it provides the ISIN, tenor in days, currency, auction and interest payment dates, maturity date, nominal yield, coupon amount, and amount outstanding. The bonds vary in tenor from 119 to 3,724 days, with currencies of UAH, USD, and EUR. Nominal yields range from 3.85% to 19.5% and amounts outstanding range from 100 to 9,950,000 units.
The document lists 41 Ukrainian government bonds with details including: issue ID, tenor in days, currency, auction and interest payment dates, maturity date, nominal yield, coupon amount, and outstanding amount. The bonds range in tenor from 22 days to 2,532 days, with currencies of UAH, USD, and EUR. Nominal yields range from 3.85% to 20.5% and outstanding amounts range from 286,617 units to 6,318,504 units. The document provides a summary of outstanding domestic bonds in Ukraine as of February 1, 2019.
This document lists 38 Ukrainian government bonds, providing details on each such as: tenor, currency, auction date, interest payment dates, maturity date, nominal yield, coupon amount, and amount outstanding. The bonds differ in terms of currency (UAH, USD, EUR), tenor (ranging from 105 to 2,534 days), yield (ranging from 3.95% to 19.5%), and amount outstanding (ranging from 55,420 to 5,765,530 units of the bond's currency).
This document lists 48 Ukrainian domestic bond issues outstanding as of July 1, 2018. It provides details for each bond such as issue date, maturity date, coupon dates, nominal yield, currency, and amount outstanding. The bonds vary in tenor from 90 to 3,365 days and are denominated in UAH, USD, EUR, and other currencies. Over 11 billion units of the bonds from various issues remained outstanding on the date listed.
This document lists 45 domestic bond instruments issued by the Ukrainian government. For each instrument it provides key details such as the tenor in days, currency, auction date, interest payment dates, maturity date, nominal yield, coupon amount, and amount outstanding. The bonds vary in currency (UAH, USD, EUR), tenor (ranging from 126 to 3,365 days), yield (ranging from 3.85% to 20%), and amount outstanding (ranging from 54,422 to 5,593,468 units).
This document lists 47 Ukrainian government bonds, providing details on each such as: tenor (term), currency, auction date, interest payment dates, maturity date, nominal yield, coupon amount, and outstanding amount. Key information included are the unique bond identifier, term ranging from 105 to 3,365 days, currencies which include UAH, USD, EUR, interest payment schedule and rates ranging from 3.85% to 18%, and outstanding amounts in local currency units ranging from 44,239 to 3,576,728.
This document lists 40 Ukrainian domestic bond issues providing details on each such as tenor, currency, auction dates, interest payment dates, maturity dates, nominal yields, coupon amounts, and outstanding instrument amounts. The bonds vary in tenor from 98 to 1820 days, are denominated in UAH, USD, or EUR, and have nominal yields ranging from 3.85% to 19.5%.
This document provides information on 44 outstanding domestic bond instruments in Ukraine as of January 1, 2019. For each instrument, it lists the ISIN, tenor in days, currency, auction and interest payment dates, maturity date, nominal yield, coupon amount per instrument, and amount outstanding. The bonds vary in tenor from 28 days to 3,365 days, with currencies of UAH, USD, and EUR. They were auctioned between 2009 and 2018 and have maturity dates ranging from 2019 to 2023.
The document lists 42 entries of domestic bonds issued by Ukraine. Each entry includes details such as the issue type and currency, auction dates, interest payment dates, maturity dates, nominal yields, coupon amounts, and outstanding amounts. The bonds have terms ranging from 126 to 3,365 days, and are denominated in Ukrainian Hryvnia, US Dollars, or Euros. The document provides an overview of Ukraine's outstanding domestic bond issues as of December 3, 2018.
This document lists 41 domestic bonds issued by Ukraine, providing details on each such as tenor, currency, auction and maturity dates, nominal yield, coupon amount, and amount outstanding. Key information included are the bond identifier, terms, interest payment schedule, and current amount outstanding as of March 1, 2019. The bonds vary in currency (UAH, USD, EUR), tenor (29 to 2,532 days), and amount outstanding (16,831 to 5,758,020 units).
This document lists 41 domestic bond auctions conducted by Ukraine between 2014 and 2019. For each auction, it provides details like the issue date, maturity date, currency, nominal yield, coupon amount, and amount outstanding. The bonds vary in tenor from 92 days to 2,532 days and are denominated in UAH, USD, or EUR. Some auctions are for treasury bills with value-added tax.
This document provides details on 48 Ukrainian domestic bonds outstanding as of July 1, 2018, including information on the bond type and currency, issuance and maturity dates, coupon rates, and amounts outstanding. Key details provided for each bond include the tenor in days, nominal yield, coupon amount per instrument, and amount of instruments outstanding.
This document lists 48 Ukrainian government bonds with details on each including ISIN, tenor, currency, auction date, interest payment dates, maturity date, nominal yield, coupon amount, and outstanding amount. The bonds vary in currency (UAH, USD, EUR), tenor (ranging from 105 to 3,365 days), yield (ranging from 3.85% to 20%), and outstanding amount (ranging from 40,339 to 5,281,081 units).
This document lists 47 Ukrainian domestic bonds, providing details on each such as tenor, currency, auction dates, coupon amounts, maturity dates, and amounts outstanding. Key information included for each bond are the ISIN, terms, interest payment schedule, yield, and current amount outstanding. The bonds vary in tenor from 91 to 3,365 days and include issues denominated in UAH, USD, and EUR.
1) The document provides financial and corporate information for Bekasi Asri Pemula Tbk as of January 2014 and historical data from 2009-2013. It includes information on shareholders, board of directors, trading activities, financial statements, balance sheets, income statements, and key financial ratios.
2) As of January 2014, the company had a market capitalization of Rp661 billion and top shareholders included PT Adimitra Transferindo with 33.94% shares.
3) Over the period 2009-2013, the company's total assets increased from Rp67 billion to Rp90 billion while revenues declined from Rp13 billion to Rp2.5 billion and profits fell from Rp12.
This is my scorecard, what I infer from my simplified worksheet (...)Giuseppe Piazzolla
(...) crossing balance sheet, income and cash flow statements.
We are checking the health of SAM - The Boston Beer Company, Inc.
° A really high Altman's Z-score and a very robust history of positive and growing operating income;
° No debt - interest expenses;
° Piotroski score is very robust;
° A recent (relatively) high fcfy due to lower market cap;
° Slowing sales growth (now negative) and pressure in assets turnover and gross margin (high competition in the growing craft beer category);
° Roic, has been particularly subdued recently, BUT never under low 20s
° Tangible book value per share growth has been outstanding.
The document provides meteorological data from the Chiquian weather station in Bolognesi Province, Ancash Region, Peru, including its name, location, coordinates, average and extreme temperatures, humidity, and precipitation levels for various months between 2006 and 2007. It also includes daily temperature, humidity, and precipitation readings for the months of March, April, May, and June 2007 from this weather station.
The document provides meteorological data from the Chiquian weather station in Bolognesi Province, Ancash Region, Peru, including its name, location, coordinates, average and extreme temperatures, humidity, and precipitation levels for various months between 2006 and 2007. It also includes daily temperature, humidity, and precipitation readings for individual months.
- The document outlines a construction-linked payment plan for a loan of ₹6,054 taken over 10 years at 9% interest.
- It shows the monthly loan drawdowns, interest accrued, principal and interest payments, and closing loan balance over the entire 10 year period.
- The loan is fully paid off in equal monthly installments of ₹76.69 through principal and interest payments over 120 months.
The expense error/reject report lists 274 expense reports totaling $27,990.70 that were rejected. The most common errors were reports lacking receipts (176) and exceeding the $85 cell phone limit (40). The report provides details of each rejected expense such as the date, employee, amount, and reason for rejection. Comments indicate actions taken such as sending emails to employees regarding the issues.
The expense error/reject report lists 274 expense reports totaling $27,990.70 that were rejected between July 18, 2011 and September 6, 2011. The most common errors were lacking receipts (176 reports) and exceeding the $85 cell phone limit (40 reports). Two reports had errors for exceeding the $50 daily meals limit and one report was rejected for not booking airfare through the approved travel portal.
FAISAL BASRI: Subsidi BBM Sudah Bewujud Kanker GanasRuslan Chandra
Forum Diskusi Ekonomi Politik "Subsidi BBM, Solusi atau Masalah?" Minggu, 7 September 2014 bertempat di
Double Bay Lounge and Resto, Lobby Ibis Budget (ex Formula 1) Plaza Menteng GF 9-10, Jl Cokroaminoto 79 Jakarta Pusat.
Pembicara :
Ir. Hasto Kristiyanto, MM (Wakil Sekjend PDIP)
Faisal Basri (Pengamat Ekonomi)
Joko Anwar (Seniman Indonesia)
Olga Lydia (Seniman Indonesia)
Moderator : Azwar Zulkarnaen (FDEP).
Upload by: Ruslan Andy Chandra
http://liputansatu.blogspot.com/2014/09/faisal-basri-subsidi-bbm-solusi-atau.html.
Sumber: Forum Diskusi Ekonomi Politik (FDEP),
This document outlines the academic calendar fees and payments for a student named Sharon Cheruiyot in a nursing program from 2020 to 2023. It shows the required fees and amounts paid per semester for each of the three years, with a total of 23,164 EUR required and 17,337 EUR paid as of June 2022. The document is signed by the chairman, treasurer, and secretary with their approval.
This document is an invoice from Idea Cellular for cellular services provided to Ramky Infrastructure Ltd. It lists the charges for the billing period including monthly plan charges of Rs. 160, usage charges of Rs. 369.70 for calls and SMS, and total taxes of Rs. 65.47, bringing the total current charges to Rs. 595.17. It also provides a detailed itemization of outgoing cellular calls including date, time, number called, duration and applicable charges.
This table shows gross and net non-performing assets (NPAs) of scheduled commercial banks in India from 2006-07 to 2017-18. It breaks down the data into different bank groups - public sector banks, old private sector banks, new private sector banks, and foreign banks in India. The key figures reported are gross NPAs as a percentage of total advances, net NPAs as a percentage of total assets, and gross and net NPAs for each bank group over this time period. NPAs for all bank groups have generally been increasing over the years according to the data in the table.
Table 17 rate of growth (% yoy) gdp and its component at current pricesPadma Natarajan
This document presents GDP growth rates for India by sector from 2005-06 to 2013-14. It shows the annual percentage growth of GDP contributions from agriculture, industry including sub-sectors, and services. It also shows the growth rates of related economic indicators such as private consumption, government expenditure, investment and exports. GDP growth was highest in 2010-11 at 20.17% and lowest in 2008-09 at 12.89%. Industry generally had higher growth rates than agriculture and services.
The document outlines Ukraine's data release calendar for August 2019. It shows that the Ministry of Finance will release data on outstanding domestic government bonds on August 1st and debt payments on August 5th. The State Statistics Service will publish inflation figures for July 2019 on August 8th. The National Bank of Ukraine will release preliminary international reserve figures for July 2019 on August 12th and revised figures on August 23rd. The State Treasury Service will publish budget execution data for Q2 2019 before August 8th and for June 2019 before August 29th.
De 2004 a 2019, las agencias de calificación crediticia S&P, Fitch y Moody's revisaron repetidamente las calificaciones crediticias de Ucrania, que oscilaron entre grado de inversión y no inversión. Las calificaciones reflejaron la inestabilidad política y económica del país durante este período.
This document provides information on 44 outstanding domestic bond instruments in Ukraine as of January 1, 2019. For each instrument, it lists the ISIN, tenor in days, currency, auction and interest payment dates, maturity date, nominal yield, coupon amount per instrument, and amount outstanding. The bonds vary in tenor from 28 days to 3,365 days, with currencies of UAH, USD, and EUR. They were auctioned between 2009 and 2018 and have maturity dates ranging from 2019 to 2023.
The document lists 42 entries of domestic bonds issued by Ukraine. Each entry includes details such as the issue type and currency, auction dates, interest payment dates, maturity dates, nominal yields, coupon amounts, and outstanding amounts. The bonds have terms ranging from 126 to 3,365 days, and are denominated in Ukrainian Hryvnia, US Dollars, or Euros. The document provides an overview of Ukraine's outstanding domestic bond issues as of December 3, 2018.
This document lists 41 domestic bonds issued by Ukraine, providing details on each such as tenor, currency, auction and maturity dates, nominal yield, coupon amount, and amount outstanding. Key information included are the bond identifier, terms, interest payment schedule, and current amount outstanding as of March 1, 2019. The bonds vary in currency (UAH, USD, EUR), tenor (29 to 2,532 days), and amount outstanding (16,831 to 5,758,020 units).
This document lists 41 domestic bond auctions conducted by Ukraine between 2014 and 2019. For each auction, it provides details like the issue date, maturity date, currency, nominal yield, coupon amount, and amount outstanding. The bonds vary in tenor from 92 days to 2,532 days and are denominated in UAH, USD, or EUR. Some auctions are for treasury bills with value-added tax.
This document provides details on 48 Ukrainian domestic bonds outstanding as of July 1, 2018, including information on the bond type and currency, issuance and maturity dates, coupon rates, and amounts outstanding. Key details provided for each bond include the tenor in days, nominal yield, coupon amount per instrument, and amount of instruments outstanding.
This document lists 48 Ukrainian government bonds with details on each including ISIN, tenor, currency, auction date, interest payment dates, maturity date, nominal yield, coupon amount, and outstanding amount. The bonds vary in currency (UAH, USD, EUR), tenor (ranging from 105 to 3,365 days), yield (ranging from 3.85% to 20%), and outstanding amount (ranging from 40,339 to 5,281,081 units).
This document lists 47 Ukrainian domestic bonds, providing details on each such as tenor, currency, auction dates, coupon amounts, maturity dates, and amounts outstanding. Key information included for each bond are the ISIN, terms, interest payment schedule, yield, and current amount outstanding. The bonds vary in tenor from 91 to 3,365 days and include issues denominated in UAH, USD, and EUR.
1) The document provides financial and corporate information for Bekasi Asri Pemula Tbk as of January 2014 and historical data from 2009-2013. It includes information on shareholders, board of directors, trading activities, financial statements, balance sheets, income statements, and key financial ratios.
2) As of January 2014, the company had a market capitalization of Rp661 billion and top shareholders included PT Adimitra Transferindo with 33.94% shares.
3) Over the period 2009-2013, the company's total assets increased from Rp67 billion to Rp90 billion while revenues declined from Rp13 billion to Rp2.5 billion and profits fell from Rp12.
This is my scorecard, what I infer from my simplified worksheet (...)Giuseppe Piazzolla
(...) crossing balance sheet, income and cash flow statements.
We are checking the health of SAM - The Boston Beer Company, Inc.
° A really high Altman's Z-score and a very robust history of positive and growing operating income;
° No debt - interest expenses;
° Piotroski score is very robust;
° A recent (relatively) high fcfy due to lower market cap;
° Slowing sales growth (now negative) and pressure in assets turnover and gross margin (high competition in the growing craft beer category);
° Roic, has been particularly subdued recently, BUT never under low 20s
° Tangible book value per share growth has been outstanding.
The document provides meteorological data from the Chiquian weather station in Bolognesi Province, Ancash Region, Peru, including its name, location, coordinates, average and extreme temperatures, humidity, and precipitation levels for various months between 2006 and 2007. It also includes daily temperature, humidity, and precipitation readings for the months of March, April, May, and June 2007 from this weather station.
The document provides meteorological data from the Chiquian weather station in Bolognesi Province, Ancash Region, Peru, including its name, location, coordinates, average and extreme temperatures, humidity, and precipitation levels for various months between 2006 and 2007. It also includes daily temperature, humidity, and precipitation readings for individual months.
- The document outlines a construction-linked payment plan for a loan of ₹6,054 taken over 10 years at 9% interest.
- It shows the monthly loan drawdowns, interest accrued, principal and interest payments, and closing loan balance over the entire 10 year period.
- The loan is fully paid off in equal monthly installments of ₹76.69 through principal and interest payments over 120 months.
The expense error/reject report lists 274 expense reports totaling $27,990.70 that were rejected. The most common errors were reports lacking receipts (176) and exceeding the $85 cell phone limit (40). The report provides details of each rejected expense such as the date, employee, amount, and reason for rejection. Comments indicate actions taken such as sending emails to employees regarding the issues.
The expense error/reject report lists 274 expense reports totaling $27,990.70 that were rejected between July 18, 2011 and September 6, 2011. The most common errors were lacking receipts (176 reports) and exceeding the $85 cell phone limit (40 reports). Two reports had errors for exceeding the $50 daily meals limit and one report was rejected for not booking airfare through the approved travel portal.
FAISAL BASRI: Subsidi BBM Sudah Bewujud Kanker GanasRuslan Chandra
Forum Diskusi Ekonomi Politik "Subsidi BBM, Solusi atau Masalah?" Minggu, 7 September 2014 bertempat di
Double Bay Lounge and Resto, Lobby Ibis Budget (ex Formula 1) Plaza Menteng GF 9-10, Jl Cokroaminoto 79 Jakarta Pusat.
Pembicara :
Ir. Hasto Kristiyanto, MM (Wakil Sekjend PDIP)
Faisal Basri (Pengamat Ekonomi)
Joko Anwar (Seniman Indonesia)
Olga Lydia (Seniman Indonesia)
Moderator : Azwar Zulkarnaen (FDEP).
Upload by: Ruslan Andy Chandra
http://liputansatu.blogspot.com/2014/09/faisal-basri-subsidi-bbm-solusi-atau.html.
Sumber: Forum Diskusi Ekonomi Politik (FDEP),
This document outlines the academic calendar fees and payments for a student named Sharon Cheruiyot in a nursing program from 2020 to 2023. It shows the required fees and amounts paid per semester for each of the three years, with a total of 23,164 EUR required and 17,337 EUR paid as of June 2022. The document is signed by the chairman, treasurer, and secretary with their approval.
This document is an invoice from Idea Cellular for cellular services provided to Ramky Infrastructure Ltd. It lists the charges for the billing period including monthly plan charges of Rs. 160, usage charges of Rs. 369.70 for calls and SMS, and total taxes of Rs. 65.47, bringing the total current charges to Rs. 595.17. It also provides a detailed itemization of outgoing cellular calls including date, time, number called, duration and applicable charges.
This table shows gross and net non-performing assets (NPAs) of scheduled commercial banks in India from 2006-07 to 2017-18. It breaks down the data into different bank groups - public sector banks, old private sector banks, new private sector banks, and foreign banks in India. The key figures reported are gross NPAs as a percentage of total advances, net NPAs as a percentage of total assets, and gross and net NPAs for each bank group over this time period. NPAs for all bank groups have generally been increasing over the years according to the data in the table.
Table 17 rate of growth (% yoy) gdp and its component at current pricesPadma Natarajan
This document presents GDP growth rates for India by sector from 2005-06 to 2013-14. It shows the annual percentage growth of GDP contributions from agriculture, industry including sub-sectors, and services. It also shows the growth rates of related economic indicators such as private consumption, government expenditure, investment and exports. GDP growth was highest in 2010-11 at 20.17% and lowest in 2008-09 at 12.89%. Industry generally had higher growth rates than agriculture and services.
The document outlines Ukraine's data release calendar for August 2019. It shows that the Ministry of Finance will release data on outstanding domestic government bonds on August 1st and debt payments on August 5th. The State Statistics Service will publish inflation figures for July 2019 on August 8th. The National Bank of Ukraine will release preliminary international reserve figures for July 2019 on August 12th and revised figures on August 23rd. The State Treasury Service will publish budget execution data for Q2 2019 before August 8th and for June 2019 before August 29th.
De 2004 a 2019, las agencias de calificación crediticia S&P, Fitch y Moody's revisaron repetidamente las calificaciones crediticias de Ucrania, que oscilaron entre grado de inversión y no inversión. Las calificaciones reflejaron la inestabilidad política y económica del país durante este período.
This document summarizes credit ratings for Ukraine from various rating agencies between 2004 and 2019. It shows foreign currency ratings, local currency ratings, national scale ratings, and outlooks assigned by Standard & Poor's, Fitch, Moody's, and other agencies over this period. Ratings fluctuated with changes in Ukraine's economic and political situation, moving between investment grade to non-investment grade levels.
The document outlines Ukraine's data release calendar for August 2019, listing various economic reports being released each week by Ukrainian government agencies. Key reports include budget execution for Q2 2019 to be released by August 8; international reserves and inflation for July 2019; a meeting of the National Bank of Ukraine board on monetary policy on August 12; revised international reserves for July and budget execution for June to be released by August 29; and state debt data as of the end of June.
The document lists details of various international government bonds, including identifiers, currencies, amounts outstanding, coupons, issue dates, maturity dates, and links to associated prospectuses. Specified are bonds denominated in euros and U.S. dollars issued between 2015 and 2028 by the same corporate entity, with coupons ranging from 0.00-9.75% and maturities from 2020-2040. Prospectus dates range from 2016 to 2019. Two U.S. aid bonds from 2015-2016 are also included, with coupons of 1.847% and 1.471% and maturities in 2020 and 2021 respectively.
This document provides economic forecasts and indicators for Ukraine from 2019-2022. It predicts that Ukraine's nominal GDP will grow steadily from UAH 4035.2 billion in 2019 to UAH 5617.3 billion in 2022. Inflation is expected to remain under control between 5.3-7.4% annually. The unemployment rate should gradually decrease from 8.6% to 7.9% in 2022. The current account deficit is projected to increase from USD -12.5 billion to USD -16.1 billion over the period. Key factors like commodity prices, foreign investment, agricultural production and fiscal indicators are also forecasted.
The document discusses the results of a study on the impact of COVID-19 lockdowns on air pollution. The study found that lockdowns led to significant short-term reductions in nitrogen dioxide and fine particulate matter pollution globally as economic activities slowed. However, the improvements in air quality were temporary and pollution levels rose back to pre-pandemic levels as restrictions eased and activity resumed.
Central fiscal revenues in Ukraine increased in the first four months of 2019 primarily due to a transfer of profits from the national bank, wage growth, and increased natural gas extraction. However, revenues were also lower than expected in some areas like VAT and tobacco taxes. Government expenditures were largely financed as planned, with the largest allocations going to wages, social protection, defense, and debt servicing. The budget surplus decreased compared to the same period in 2018. Ukraine recently transitioned from an IMF Extended Fund Facility program to a new 14-month Stand-By Arrangement.
This document summarizes Ukraine's medium-term state debt management strategy from 2019 to 2022. Key points include:
- Ukraine's total state debt as of end-2018 was $67.2 billion, with 59.1% from external sources and 40.9% domestic.
- The strategy aims to gradually decrease debt levels, extend maturities, increase domestic debt denominated in local currency, and develop systematic investor relations.
- Major risks to debt include refinancing, liquidity, foreign exchange, and interest rate risks. The strategy seeks to mitigate these through domestic market development, liability management, and cooperation with international financial institutions.
This calendar outlines economic data releases from Ukraine's government agencies in July 2019, including international reserves, inflation, monetary policy meetings, budget execution, outstanding government bonds, debt payments, and state debt figures, with scheduled release dates from the Ministry of Finance, National Bank of Ukraine, State Statistics Service, and State Treasury Service.
1. Ukraine's economy has been recovering well, with real GDP growth of 3.3% in 2018, driven by strong consumer demand and increasing investments.
2. Key reforms have supported Ukraine's economic recovery and established irreversible steps toward change, while fiscal consolidation has helped prudent debt management.
3. Continued support from economic partners has also contributed to Ukraine's solid economic recovery track over recent years.
1. Ukraine's economy has experienced solid recovery in recent years, with real GDP growth accelerating to 3.3% in 2018. Private consumption has been the key driver of growth.
2. Reforms have supported economic recovery and Ukraine has taken steps to diversify its trade partners, with the EU becoming its largest trading partner. Exports of goods like machinery and metals increased substantially in 2018.
3. The document provides an overview of Ukraine's economy and recent economic performance but cautions that it does not constitute an offer to invest and contains forward-looking statements that may not reflect actual results.
The Ipsos - AI - Monitor 2024 Report.pdfSocial Samosa
According to Ipsos AI Monitor's 2024 report, 65% Indians said that products and services using AI have profoundly changed their daily life in the past 3-5 years.
Analysis insight about a Flyball dog competition team's performanceroli9797
Insight of my analysis about a Flyball dog competition team's last year performance. Find more: https://github.com/rolandnagy-ds/flyball_race_analysis/tree/main
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
Codeless Generative AI Pipelines
(GenAI with Milvus)
https://ml.dssconf.pl/user.html#!/lecture/DSSML24-041a/rate
Discover the potential of real-time streaming in the context of GenAI as we delve into the intricacies of Apache NiFi and its capabilities. Learn how this tool can significantly simplify the data engineering workflow for GenAI applications, allowing you to focus on the creative aspects rather than the technical complexities. I will guide you through practical examples and use cases, showing the impact of automation on prompt building. From data ingestion to transformation and delivery, witness how Apache NiFi streamlines the entire pipeline, ensuring a smooth and hassle-free experience.
Timothy Spann
https://www.youtube.com/@FLaNK-Stack
https://medium.com/@tspann
https://www.datainmotion.dev/
milvus, unstructured data, vector database, zilliz, cloud, vectors, python, deep learning, generative ai, genai, nifi, kafka, flink, streaming, iot, edge
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...Aggregage
This webinar will explore cutting-edge, less familiar but powerful experimentation methodologies which address well-known limitations of standard A/B Testing. Designed for data and product leaders, this session aims to inspire the embrace of innovative approaches and provide insights into the frontiers of experimentation!
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
Learn SQL from basic queries to Advance queriesmanishkhaire30
Dive into the world of data analysis with our comprehensive guide on mastering SQL! This presentation offers a practical approach to learning SQL, focusing on real-world applications and hands-on practice. Whether you're a beginner or looking to sharpen your skills, this guide provides the tools you need to extract, analyze, and interpret data effectively.
Key Highlights:
Foundations of SQL: Understand the basics of SQL, including data retrieval, filtering, and aggregation.
Advanced Queries: Learn to craft complex queries to uncover deep insights from your data.
Data Trends and Patterns: Discover how to identify and interpret trends and patterns in your datasets.
Practical Examples: Follow step-by-step examples to apply SQL techniques in real-world scenarios.
Actionable Insights: Gain the skills to derive actionable insights that drive informed decision-making.
Join us on this journey to enhance your data analysis capabilities and unlock the full potential of SQL. Perfect for data enthusiasts, analysts, and anyone eager to harness the power of data!
#DataAnalysis #SQL #LearningSQL #DataInsights #DataScience #Analytics
State of Artificial intelligence Report 2023kuntobimo2016
Artificial intelligence (AI) is a multidisciplinary field of science and engineering whose goal is to create intelligent machines.
We believe that AI will be a force multiplier on technological progress in our increasingly digital, data-driven world. This is because everything around us today, ranging from culture to consumer products, is a product of intelligence.
The State of AI Report is now in its sixth year. Consider this report as a compilation of the most interesting things we’ve seen with a goal of triggering an informed conversation about the state of AI and its implication for the future.
We consider the following key dimensions in our report:
Research: Technology breakthroughs and their capabilities.
Industry: Areas of commercial application for AI and its business impact.
Politics: Regulation of AI, its economic implications and the evolving geopolitics of AI.
Safety: Identifying and mitigating catastrophic risks that highly-capable future AI systems could pose to us.
Predictions: What we believe will happen in the next 12 months and a 2022 performance review to keep us honest.
End-to-end pipeline agility - Berlin Buzzwords 2024Lars Albertsson
We describe how we achieve high change agility in data engineering by eliminating the fear of breaking downstream data pipelines through end-to-end pipeline testing, and by using schema metaprogramming to safely eliminate boilerplate involved in changes that affect whole pipelines.
A quick poll on agility in changing pipelines from end to end indicated a huge span in capabilities. For the question "How long time does it take for all downstream pipelines to be adapted to an upstream change," the median response was 6 months, but some respondents could do it in less than a day. When quantitative data engineering differences between the best and worst are measured, the span is often 100x-1000x, sometimes even more.
A long time ago, we suffered at Spotify from fear of changing pipelines due to not knowing what the impact might be downstream. We made plans for a technical solution to test pipelines end-to-end to mitigate that fear, but the effort failed for cultural reasons. We eventually solved this challenge, but in a different context. In this presentation we will describe how we test full pipelines effectively by manipulating workflow orchestration, which enables us to make changes in pipelines without fear of breaking downstream.
Making schema changes that affect many jobs also involves a lot of toil and boilerplate. Using schema-on-read mitigates some of it, but has drawbacks since it makes it more difficult to detect errors early. We will describe how we have rejected this tradeoff by applying schema metaprogramming, eliminating boilerplate but keeping the protection of static typing, thereby further improving agility to quickly modify data pipelines without fear.