MFI

EMGA secures US$ 50M debt finance for Kazakhstan’s MFO KMF

Retrieved on: 
Tuesday, April 9, 2024

KMF Chairman of the Board Shalkar Zhusupov: "This is the first time that KMF has entered into a partnership with JICA, whose goals and mission are close to our own.

Key Points: 
  • KMF Chairman of the Board Shalkar Zhusupov: "This is the first time that KMF has entered into a partnership with JICA, whose goals and mission are close to our own.
  • EMGA’s Head of Investment Banking and Managing Director Sajeev Chakkalakal said, “We are delighted to have arranged this new landmark debt facility for our long-standing client KMF.
  • MFO “KMF” disburses clients individual and group loans for the following types of activity: business, trade, crop farming and cattle-breeding, production and services and consumer lending.
  • Emerging Markets Global Advisory Limited (EMGA), with offices in London and New York, helps financial institutions and corporates seeking new debt or equity capital.

Mastering Crypto Investing: A Guide to Ethereum (ETH), Solana (SOL) and Furrever Token (FURR)in the Face of Market Turbulence

Retrieved on: 
Wednesday, April 3, 2024

Ethereum (ETH) navigates a stormy sea in today’s unpredictable crypto market, feeling the ripple effects of Bitcoin's recent downturn.

Key Points: 
  • Ethereum (ETH) navigates a stormy sea in today’s unpredictable crypto market, feeling the ripple effects of Bitcoin's recent downturn.
  • Should Ethereum conquer the $3,450 resistance, a surge towards $3,720 might be on the horizon, pending a decisive breach of $3,650.
  • Demonstrating considerable promise and drawing investor attention during its presale, Furrever Token has successfully gathered over $610,000, signaling a robust interest from the market.
  • With sights set on its imminent launch on decentralized exchanges such as PancakeSwap, the excitement around Furrever Token continues to mount.

Maple Leaf Foods and the Maple Leaf Centre for Food Security commend the Government of Canada's investment in a National School Food Program

Retrieved on: 
Monday, April 1, 2024

MISSISSAUGA, ON, April 1, 2024 /PRNewswire/ - Maple Leaf Foods Inc. (TSX: MFI) and the Maple Leaf Centre for Food Security commend the Government of Canada on their announcement today to invest $1 billion over the next five years to establish a National School Food Program.

Key Points: 
  • MISSISSAUGA, ON, April 1, 2024 /PRNewswire/ - Maple Leaf Foods Inc. (TSX: MFI) and the Maple Leaf Centre for Food Security commend the Government of Canada on their announcement today to invest $1 billion over the next five years to establish a National School Food Program.
  • Working with provinces and territories, this investment will broaden existing school food programs to reach an additional 400,000 children across Canada.
  • "Maple Leaf Foods and the Maple Leaf Centre for Food Security are thrilled and thankful that the federal government has acted on their commitment to create a National School Food Program," said Sarah Stern, Executive Director of the Maple Leaf Centre for Food Security.
  • Historically, Canada has been the only G7 country without a national school food program.

Safeguard Your Mobile Memories before World Backup Day on March 31 with Qubii Duo

Retrieved on: 
Tuesday, March 19, 2024

TAIPEI, March 19, 2024 /PRNewswire/ -- March 31st serves as a critical reminder for digital citizens worldwide: World Backup Day.

Key Points: 
  • TAIPEI, March 19, 2024 /PRNewswire/ -- March 31st serves as a critical reminder for digital citizens worldwide: World Backup Day.
  • Astonishingly, research indicates that one in three people have yet to perform a backup of their mobile device data.
  • Enter Qubii Duo, the latest innovation in data backup solutions and recipient of the Good Design Award.
  • For those intrigued by its widespread acclaim, more information is available on the Qubii Duo promotion website.

Rexton Launches Rexton Reach Hearing Aid Platform to Ensure Every Voice in Every Conversation is Heard

Retrieved on: 
Tuesday, March 12, 2024

ISELIN, N.J., March 12, 2024 /PRNewswire/ -- Continuing its legacy of developing solutions that are simple to wear and easy to fit, hearing aid manufacturer Rexton today unveiled Rexton Reach, an all-new hearing aid platform that allows wearers to truly participate in group conversations and hear multiple voices at the same time, even in background noise.

Key Points: 
  • The first hearing aid model built on the Rexton Reach platform is Rexton Reach R-Li T, a rechargeable receiver-in-canal (RIC) hearing aid that ensures every voice within a conversation is clear and recognizable.
  • To be truly engaged in a conversation, hearing aid wearers need to be able to hear each participant clearly and consistently amidst background noise.
  • The Rexton Reach platform also features rechargeability and seamless connectivity for ease of use, while maintaining the proven performance and durability Rexton hearing aids are known for.
  • Rexton Reach R-Li T offers wearers peace of mind that their rechargeable hearing aid will get them through the day.

Debate on: Is the inflation surge over and what are the lessons for monetary policy?

Retrieved on: 
Wednesday, April 3, 2024

Shocks to the shortages variable are constructed as deviations in the values from the sample mean.

Key Points: 
    • Shocks to the shortages variable are constructed as deviations in the values from the sample mean.
    • Shocks to the vacancy-to-unemployment ratio (labour market variable) are constructed
      as the actual value minus the value in the fourth quarter of 2019.
    • ?Indirect impact of energy prices on non-energy inflation? is the sum of the indirect effects of oil,
      gas and electricity prices.
    • 3

      Historical
      Rubric comparison of inflation episodes in the euro area ? headline and core
      Headline

      Core

      (percentage points)

      (percentage points)
      Current euro area episode
      Past global episodes

      Current euro area episode
      Past global episodes
      2

      2

      0

      0

      -2
      -4

      -2

      -6
      -8

      -4

      -10
      -12

      -24

      -18

      -12

      -6

      0

      6

      12

      18

      -6

      24

      Months around inflation peak

      -24

      -18

      -12
      -6
      0
      6
      12
      Months around inflation peak

      18

      Sources: BIS, Eurostat and ECB calculations.

    • The dark blue line represents the latest developments in headline and core inflation for the euro area, relative to the October
      2022 peak.
    • Non-energy industrial goods inflation refers to a panel of all euro area countries, while services inflation refers to
      a panel of 30 AEs and 28 EMEs.
    • Month = 0 is when the headline inflation value is at the highest during that particular episode.
    • The dark blue line represents the latest developments
      in non-energy industrial goods and services inflation for the euro area, relative to the October 2022 peak.
    • unprocessed
      food and energy

      HICPX

      8
      3.0

      3.0

      2.5

      2.5

      2.0

      2.0
      1.5

      1.5
      1.0
      Feb-24

      Jul-24

      1.0
      Dec-24 Feb-24

      Jul-24

      8

      7

      7

      6

      6

      5

      5

      4

      4

      3

      3

      2

      2

      1

      1

      Adjusted
      measures

      Difference
      4

      3

      2

      1

      0
      0
      0
      Feb-24 Jan-23 Jul-23 Jan-24
      Jan-23 Jul-23 Jan-24
      Feb-24 Jan-23 Jul-23 Jan-24
      Feb-24

      Dec-24

      Sources: Eurostat, March 2024 ECB staff short-term inflation outlook, Consensus
      Economics, Bloomberg and ECB calculations.

    • The ?adjusted?
      measures abstract from energy and supply-bottleneck shocks using a large SVAR, see
      Ba?bura, Bobeica and Mart?nez-Hern?ndez (2023), ?What drives core inflation?
    • Notes: 5-days moving average risk-neutral
      probabilities of inflation implied by five-year and tenyear zero-coupon inflation options.
    • 16

      8

      12
      Quarters

      16

      20

      Policy
      Rubriccounterfactuals
      Interest rate under alternative
      counterfactuals

      Counterfactual impacts on
      Inflation

      (percentages per annum)

      (annual percentage change)

      Baseline
      Earlier and longer
      Earlier, longer and higher

      8

      Baseline

      7
      6
      5
      4
      3
      2
      1
      0
      -1
      2021Q4

      2022Q4

      2023Q4

      2024Q4

      Earlier, longer and higher

      10

      2

      8

      0

      6

      -2

      4

      -4

      2

      -6

      0

      -8

      -2

      2025Q4

      Earlier and longer

      Output gap

      (p.p.

    • The RHS chart displays the impact on inflation (first panel) and output gap (second panel) for each of the hypothetical alternative paths of the interest
      rate.
    • As a caveat, financial feedback loops as well as feedback loops between inflation expectations and inflation are not activated.

AnaCredit plausibility checks, version 2.0

Retrieved on: 
Tuesday, April 2, 2024

AnaCredit plausibility

Key Points: 
    • AnaCredit plausibility
      checks
      Plausibility checks performed on
      AnaCredit datasets
      Version 2.0

      March 2024

      Contents
      1

      Introduction

      2

      2

      Plausibility checks

      3

      2.1

      Definitions

      3

      2.2

      Classification

      4

      3

      AnaCredit external plausibility checks

      7

      3.1

      Plausibility checks with other statistical reporting frameworks

      8

      3.2

      Plausibility checks with supervisory reporting frameworks

      AnaCredit plausibility checks ? Contents

      27

      1

      1

      Introduction
      This document sets out the AnaCredit plausibility checks.

    • AnaCredit plausibility checks ? Plausibility checks

      3

      are erroneous and require revision; second, where the AnaCredit data are correct
      but the BSI data have not been reported correctly; third, where methodological
      differences in the requirements of the two datasets justify the discrepancy.

    • Figure 1
      Types of AnaCredit plausibility check
      Structure

      Stability

      per OA

      Consistency within or across attributes

      Time consistency of aggregate metrics

      across OAs

      Consistency with data of other OAs

      Changes in relative position compared
      to other OAs

      Benchmark
      comparisons

      Consistency with statistical and/or
      supervisory reporting

      Consistency of ratios over time

      Internal
      plausibility

      External
      plausibility

      AnaCredit plausibility checks ? Plausibility checks

      4

      2.2.1

      Internal plausibility checks
      Internal plausibility checks are self-contained within the AnaCredit data set, i.e.

    • AnaCredit plausibility checks ? Plausibility checks

      5

      2.2.2

      External plausibility checks
      External plausibility checks assess the consistency of data reported under AnaCredit
      with other datasets.

    • AnaCredit plausibility checks ? Plausibility checks

      6

      3

      AnaCredit external plausibility checks
      The following subsections contain the details of the AnaCredit external plausibility
      checks.

    • List of external plausibility checks performed under AnaCredit
      Table 1 shows the external plausibility checks under AnaCredit.
    • Plausibility checks with other statistical reporting
      frameworks
      This section includes AnaCredit external plausibility checks against other statistical
      reporting frameworks.
    • AnaCredit plausibility checks ? AnaCredit external plausibility checks

      9

      3.1.1.2

      ?

      loans to other financial intermediaries, financial auxiliaries, captive financial
      institutions and money lenders (S.125+S.126+S.127) across all maturity
      breakdowns;

      ?

      loans to insurance corporations (S.128) across all maturity breakdowns;

      ?

      loans to pension funds (S.129) across all maturity breakdown.

    • AnaCredit plausibility checks ? AnaCredit external plausibility checks

      10

      instruments (loans), so the resulting aggregate is a good match to the BSI statistic.

    • AnaCredit plausibility checks ? AnaCredit external plausibility checks

      12

      loans.

    • AnaCredit plausibility checks ? AnaCredit external plausibility checks

      14

      If any of the input data necessary for this calculation are missing or inconsistent, the
      [relevant BSI balance] resolves to NULL for the instrument concerned.

    • AnaCredit plausibility checks ? AnaCredit external plausibility checks

      16

      the latter assuming the credit risk and the MFI being responsible for managing the
      loan.

    • AnaCredit plausibility checks ? AnaCredit external plausibility checks

      17

      Intra-company instrument flag
      BSI statistics also include intra-company loans, i.e.

    • AnaCredit plausibility checks ? AnaCredit external plausibility checks

      18

      Settled loans
      BSI statistics only include loans which have been settled, i.e.

    • AnaCredit plausibility checks ? AnaCredit external plausibility checks

      20

      resolves to NULL for the instrument concerned.

    • AnaCredit plausibility checks ? AnaCredit external plausibility checks

      25

      divided by the number of the main debtors.

    • AnaCredit plausibility checks ? AnaCredit external plausibility checks

      26

      3.2

      Plausibility checks with supervisory reporting frameworks
      This section includes AnaCredit external plausibility checks against supervisory
      reporting frameworks.

    • AnaCredit plausibility checks ? AnaCredit external plausibility checks

      27

      FINREP templates and compared with suitably computed AnaCredit equivalents for
      banks reporting the supervisory financial information under Regulation ECB/2015/13
      (FINREP solo).

    • AnaCredit plausibility checks ? AnaCredit external plausibility checks

      28

      Figure 3
      Calculation flow ? schematic overview of the comparison with FINREP solo

      By stacking the FINREP solo benchmark side-by-side with its AnaCredit equivalent,
      the deviation between the values can be quantified.

    • AnaCredit plausibility checks ? AnaCredit external plausibility checks

      29

      3.2.2.1

      FINREP solo benchmark value
      As mentioned, comparing AnaCredit with supervisory financial information helps
      ensure accounting information on loan portfolios that must be reported to AnaCredit
      is reported properly.

    • AnaCredit plausibility checks ? AnaCredit external plausibility checks

      30

      Table 3
      The formula for the benchmark DP_FNRP_F1800_ALL_00 from data points from the
      reporting templates of the EBA reporting framework.

    • The composition of FINREP solo reporters thus defined serves as a basis for
      determining (i) which AnaCredit observed agents correspond to which FINREP solo
      reporters, and (ii) the extent to which the perimeter of a FINREP solo reporter can be
      reconstructed from AnaCredit (given that some observed agents may have been

      AnaCredit plausibility checks ? AnaCredit external plausibility checks

      32

      derogated from reporting to AnaCredit).

    • AnaCredit plausibility checks ? AnaCredit external plausibility checks

      34

      For a given FINREP solo reporter, the result of the calculation described in this
      section (i.e.

    • AnaCredit plausibility checks ? AnaCredit external plausibility checks

      35

      ? European Central Bank, 2024
      Postal address
      Telephone
      Website

      60640 Frankfurt am Main, Germany
      +49 69 1344 0
      www.ecb.europa.eu

      All rights reserved.

Leica Releases SL3 Next-Generation 60MP Full-Frame Mirrorless Camera; YouTube Video First Look Info at B&H

Retrieved on: 
Thursday, March 7, 2024

NEW YORK, March 7, 2024 /PRNewswire/ -- B&H is tickled to announce the Leica SL3 Mirrorless Camera. This L-Mount camera uses the same technology we first saw in the M11 and Q3, including a 60MP BSI CMOS full-frame sensor and the Maestro IV image processor. This upgrade to image quality features Triple Resolution Technology, improved dynamic range of up to 15 stops, and a sensitivity range of up to ISO 100000. The camera also benefits from a larger 8GB buffer.

Key Points: 
  • Photography News: Leica has upgraded the SL3 camera by bestowing it with the latest 60MP full-frame sensor and image processor.
  • NEW YORK, March 7, 2024 /PRNewswire/ -- B&H is tickled to announce the Leica SL3 Mirrorless Camera .
  • Video is among the features that get a major upgrade―the SL3 now captures 8K video.
  • Wi-Fi is a bit faster, with MIMO technology, and Bluetooth remains for working with the Leica FOTOS app.

MAPLE LEAF FOODS ANNOUNCES REFRESHED STRATEGIC BLUEPRINT, APPOINTS ADAM GROGAN AND CASEY RICHARDS TO NEW EXECUTIVE ROLES

Retrieved on: 
Thursday, February 22, 2024

Adam Grogan named as Chief Operating Officer and Casey Richards moves into the role of President, Maple Leaf Foods USA

Key Points: 
  • Adam Grogan named as Chief Operating Officer and Casey Richards moves into the role of President, Maple Leaf Foods USA
    MISSISSAUGA, ON, Feb. 22, 2024 /PRNewswire/ - Maple Leaf Foods, Inc. ("Maple Leaf Foods" or the "Company") (TSX: MFI) today announced an update to the Company's strategic focus and a realignment of its organizational structure, including several executive changes.
  • Adam has been with Maple Leaf Foods for more than 25 years in diverse roles and brings a wide spectrum of experience in both operational and commercial leadership roles.
  • Casey Richards assumes the newly-created role of President, Maple Leaf Foods USA.
  • Casey has more than 20 years of global marketing and general management experience, including the last six years with Maple Leaf Foods.

Philip R. Lane: The banking channel of monetary policy

Retrieved on: 
Friday, February 16, 2024

for rates, credit growth in deviation from the start of the cycle (t) in p.p.

Key Points: 
    • for rates, credit growth in deviation from the start of the cycle (t) in p.p.
    • Starting months correspond to the month immediately preceding the first hike or explicit announcement of the hike of the cycle.
    • The dotted lines shows counterfactuals for lending rates and lending volumes, taking December 2021 as the last observation and
      projecting volumes conditional on the path of monetary policy rates.
    • The one for lending volumes is based on the BVAR model in Altavilla,
      Giannone, and Lenza (2016).
    • Composite funding costs are a weighted average of deposit rates
      and average monthly bond yields, with outstanding amounts as weights.
    • Right chart shows
      the contributions of the components to the change in the composite bank funding cost
      between December 2021 and November 2023.
    • Latest observations: 8 February 2024 for bond yields; December 2023 for other series.
    • Notes: ?Others? include shares (listed and not listed as well as those issued by investment
      funds), and insurance and pension schemes.
    • Retail

      Specialised

      Universal

      10

      10

      8

      8

      6

      6

      4

      4

      2

      2

      0

      0

      -2

      -2

      -4
      Jan-20 Aug-20 Mar-21 Oct-21 May-22 Dec-22 Jul-23

      -4

      Sources: ECB (iBSI, iMIR) MPC Task Force on Banking Analysis and ECB calculations.

    • Investment refers to the net
      change in property plant and equipment over assets; cash refers to cash and cash
      equivalents over assets.
    • Households
      loans, credit standards and loan demand
      Rubric
      Changes in credit standards for
      loans to households, and
      contributing factors
      (net percentage)

      0

      30

      -40

      20

      Sources: ECB (BSI) and ECB calculations.

    • Low-income households are those in the bottom 20 per cent
      of the income distribution; high-income households are those in the top 20 per cent.