In the backdrop of the buzz that IFRS-9 has generated in the banking industry, Aptivaa is pleased to launch a series of articles providing our perspective on various issues highlighted by our esteemed clients during interactions in the recent months. First in the series is our take on the latest BCBS paper which requires ‘high quality’, ‘robust’ & ‘consistent’ implementation of Expected Credit Loss (ECL) framework for all internationally active banks.
Key highlights from BCBS guidance are:
§ Banks should consider the principle of proportionality and materiality while finalizing the methodology for ECL estimation
§ BCBS allows the immediate reversal of allowance in case of credit quality improvement, recognising that ECL accounting frameworks are symmetrical
§ Limited use of IFRS 9 practical expedients such as, more than 30 days past due, low credit risk exemption & information set
§ Inclusion of forward looking information and macroeconomic forecasts to the historical information in the ECL estimation process
§ Requirement of robust policies and procedures for model governance and validation which is in line with regulatory requirements for Basel II IRB purposes
Please find enclosed the white paper, which provides in-depth details of the key aspects discussed by the Basel Committee and our view on the same.
As discussed in our previous blog, PIT PD describes an expectation of the future, starting from the current situation and integrating all relevant cyclical changes & all values of the obligor idiosyncratic effect with appropriate probabilities. A PIT PD mimics the observed default rates over a period of time. TTC PDs, in contrast, reflect circumstances anticipated over an extremely long period, and thus nullify the effects of credit cycle. Basing it on these definitions, the current article focuses on range of PD Calibration approaches for aligning internal rating model output with actual default rates.
IFRS 9 defines “Credit Loss” in terms of “Cash Shortfall” or credit loss estimation through projected cash flow discounting. However, there is little explicit information available as to how “Cash Shortfall” should be computed; should it be computed separately or along with “Expected” default path of the borrower, leading to ambiguity around the subject. IFRS 9 has specifically given inputs on PD estimation however, on LGD there is no such specific directives available. The ambiguity around the subject raises a few questions. The blog explores the limits of current knowledge (theoretical and empirical), and offers some preliminary guidance on such questions.
On 18th December 2015, the Basel Committee for Banking Supervision (BCBS) published its final insights on sound credit risk and accounting practices associated with the implementation of IFRS 9 Expected Credit Losses (ECL) accounting frameworks.
In this post, we will be highlighting and deliberating upon some of the key issues which have been discussed in the BCBS guidance note, and their impact on various banks.
In our second post ‘building blocks of Impairment Modeling’, we had highlighted that IFRS 9 uses a ‘three stage model’ for measurement of ECL, and one of the major challenges of implementing this model was tracking and determining whether there has been a significant increase in risk of a credit exposure since origination. This blog post delves into the intricacies related to the three stage model, and some nuances that need to be considered for a bank looking to implement IFRS 9.
Continuing with our updates on the key aspects of IFRS 9 Implementation, our current post (attached) talks about “IFRS 9 Impairment Solution”. The post aims to provide key insights, which might assist banks’ in selecting a strategic solution that will future-proof the investment towards successful IFRS 9 implementation. The post enumerates on the key desirable features both from functional and technical viewpoints, which a strategic IFRS 9 solution should possess and will benefit our readers to make an important choice.
Aptivaa is pleased to launch a series of blogs to apprise readers of some of the key aspects related mostly to Impairment Modeling, for compliance with the new accounting standards (IFRS 9), as well as to have a conversation with the readers about the challenges that banks are facing in their implementation efforts.
The blog provide some key insights on the subject – as to how to compute EIR for fixed or floating rate instruments, how to compute EIR for products which involves both interest income and fee income, what are the challenges which banks might face while computing EIR, what are the operational simplifications which banks might consider while computing EIR.
Continuing with our updates on the key aspects of IFRS 9 Implementation, our current post (attached) talks about “Exposure at Default (EAD)” where, possible uses and business interpretation nuances of terms linked to EAD are highlighted. The post enumerates on the computation methods of EAD and the modeling approaches available for each of the methods with key consideration points from Basel and IFRS9 perspectives highlighted in between for the readers.
We look forward to your valuable feedback on the current article or the challenges faced by you in IFRS9 implementation.
As discussed in our previous blog, PIT PD describes an expectation of the future, starting from the current situation and integrating all relevant cyclical changes & all values of the obligor idiosyncratic effect with appropriate probabilities. A PIT PD mimics the observed default rates over a period of time. TTC PDs, in contrast, reflect circumstances anticipated over an extremely long period, and thus nullify the effects of credit cycle. Basing it on these definitions, the current article focuses on range of PD Calibration approaches for aligning internal rating model output with actual default rates.
IFRS 9 defines “Credit Loss” in terms of “Cash Shortfall” or credit loss estimation through projected cash flow discounting. However, there is little explicit information available as to how “Cash Shortfall” should be computed; should it be computed separately or along with “Expected” default path of the borrower, leading to ambiguity around the subject. IFRS 9 has specifically given inputs on PD estimation however, on LGD there is no such specific directives available. The ambiguity around the subject raises a few questions. The blog explores the limits of current knowledge (theoretical and empirical), and offers some preliminary guidance on such questions.
On 18th December 2015, the Basel Committee for Banking Supervision (BCBS) published its final insights on sound credit risk and accounting practices associated with the implementation of IFRS 9 Expected Credit Losses (ECL) accounting frameworks.
In this post, we will be highlighting and deliberating upon some of the key issues which have been discussed in the BCBS guidance note, and their impact on various banks.
In our second post ‘building blocks of Impairment Modeling’, we had highlighted that IFRS 9 uses a ‘three stage model’ for measurement of ECL, and one of the major challenges of implementing this model was tracking and determining whether there has been a significant increase in risk of a credit exposure since origination. This blog post delves into the intricacies related to the three stage model, and some nuances that need to be considered for a bank looking to implement IFRS 9.
Continuing with our updates on the key aspects of IFRS 9 Implementation, our current post (attached) talks about “IFRS 9 Impairment Solution”. The post aims to provide key insights, which might assist banks’ in selecting a strategic solution that will future-proof the investment towards successful IFRS 9 implementation. The post enumerates on the key desirable features both from functional and technical viewpoints, which a strategic IFRS 9 solution should possess and will benefit our readers to make an important choice.
Aptivaa is pleased to launch a series of blogs to apprise readers of some of the key aspects related mostly to Impairment Modeling, for compliance with the new accounting standards (IFRS 9), as well as to have a conversation with the readers about the challenges that banks are facing in their implementation efforts.
The blog provide some key insights on the subject – as to how to compute EIR for fixed or floating rate instruments, how to compute EIR for products which involves both interest income and fee income, what are the challenges which banks might face while computing EIR, what are the operational simplifications which banks might consider while computing EIR.
Continuing with our updates on the key aspects of IFRS 9 Implementation, our current post (attached) talks about “Exposure at Default (EAD)” where, possible uses and business interpretation nuances of terms linked to EAD are highlighted. The post enumerates on the computation methods of EAD and the modeling approaches available for each of the methods with key consideration points from Basel and IFRS9 perspectives highlighted in between for the readers.
We look forward to your valuable feedback on the current article or the challenges faced by you in IFRS9 implementation.
Banks are scrambling to meet with IFRS 9 guidelines and are setting down on the path to implement various ECL estimation methodologies and models. But a topic that hasn’t been given enough attention is the need for governance of these models and the attendant model risk management framework that needs to be set up to lend credibility to the model estimates. This blog touches upon the need for validation of models and how model risk governance has become paramount in view of the new guidelines.
Continuing with our updates on the key aspects of IFRS 9 Implementation, our current post (attached) talks about “Impairment Modelling in Retail ” where, key challenges are highlighted through questions and different solutions are proposed to address the same. The post attempts to address some key implementation challenges such as; Which approach to follow for analysis of retail portfolios?, What timeframe to consider for estimating lifetime of retail products?, How to link forward looking information with PDs? How to carry out Stage Allocation? And, what are the methods for calculation of ECL for Retail Portfolios?
As the methodologies for IFRS 9 Implementation are still evolving, many banks are in the process of developing a roadmap towards implementation and are still evaluating methodologies that are likely to conform to the principles of proportionality and materiality. To this end, Banks being advised are to develop a Target Operating Model (TOM) design, which seeks to identify and document the work program required to meet IFRS 9 requirements on Impairment modelling and ECL estimation.
A key metric that summarizes the credit worthiness of a bank’s obligor is the Probability of Default (PD). Besides credit worthiness assessment and capital computation under IRB, PD is one of the key metrics required in the updated IFRS 9 accounting standards. At present, there are many PD related terminologies used in the banking industry, such as: PIT PD, TTC PD, 12-month PD and so on. Such a wide spectrum of terminologies has led to confusion among users, especially when it comes to IFRS 9, which lays special focus on PIT PD and lifetime PD. This blog intends to clarify these key terminologies.
In the backdrop of the buzz that Interest Rate Risk in the Banking Book (IRRBB) has generated in the banking industry, Aptivaa is pleased to launch a series of articles providing our perspective on various issues highlighted by our esteemed clients during interactions in the recent months. This post gives an overview of the revised guidelines on IRRBB which has been issued by the Basel Committee, the approaches and the associated challenges in the implementation of IRRBB framework for all internationally active banks.We look forward to your valuable feedback on the current article or the challenges faced by you in IRRBB implementation.
In our earlier blog, we discussed PD terminology and PD calibration approaches as applicable to the IFRS 9 framework. In this blog, we have discussed the methodologies for adjusting PDs for the ‘forward-looking’ macroeconomic scenarios and development of PD Term Structure.
As the race against time to comply with IFRS 9 guidelines begins, several software solutions are being bandied about as a quick fix solution for automating the entire impairment modelling process. While automating is definitely the way to go in initiatives such as these, the question remains as to whether the software architecture should be of a strategic integrated nature or one that is decoupled and modular. In Aptivaa, we believe the answer to this lies in the 4Rs question: Readiness, Reflectiveness, Redundancy and Regularity.
This is the second post in the series of articles we have launched on various topics in the area of Asset Liability Management. Our prior post covered the recently issued Basel guidelines on Interest Rate Risk in the Banking Book (IRRBB).
A key aspect of the guidelines is the requirement for modeling of interest rate behavior of various balance sheet products. In this post we explore the nature of balance sheet cash flows, their key characteristics and sensitivity to market liquidity and interest rate movements. We also highlight how a deeper understanding of cash flow behavior is required to effectively manage the liquidity of the bank and also price balance sheet products. We focus particularly on the non-maturing deposits which form the single largest source of non-contractual cash flows of any bank.
rest rate modeling assumptions.
his is the second post in the series of articles we have launched on various topics in the area of Asset Liability Management. Our prior post covered the recently issued Basel guidelines on Interest Rate Risk in the Banking Book (IRRBB).
A key aspect of the guidelines is the requirement for modeling of interest rate behavior of various balance sheet products. In this post we explore the nature of balance sheet cash flows, their key characteristics and sensitivity to market liquidity and interest rate movements. We also highlight how a deeper understanding of cash flow behavior is required to effectively manage the liquidity of the bank and also price balance sheet products. We focus particularly on the non-maturing deposits which form the single largest source of non-contractual cash flows of any bank.
We look forward to your valuable feedback on the current article. We are also keen on hearing about any challenges faced by you in developing balance sheet liquidity and interest rate modeling assumptions.
IFRS (International Financial Reporting Standards) 9 is not just an accounting standard, but a game-changer. In today’s capital constrained environment, the increased volatility of P&L and that of associated regulatory capital are likely to have a profound impact across the stakeholder community. This presentation provides an overview of our assistance themes. If you are project sponsor or a stakeholder, please feel free to organize a call with us to discuss how Nexx can assist you.
Strategic implications of IFRS9 oliver wymanGeoff Holmes
IFRS9 will fundamentally change the level and dynamics of credit provisions, and will result in significantly diminished returns for some segments. To date, most banks have focussed on ensuring compliance, but with the 2018 implementation deadline approaching attention is turning to understanding and mitigating the impacts.
IFRS9 materially impacts lending economics, particularly for consumer credit and SME products where some segments will be significantly less attractive than today. Given all lenders are affected, this represents a challenge and an opportunity. Those who develop their responses early and optimise their actions stand a good chance of getting ahead of the competition.
The paper attached examines how IFRS9 impacts profitability, where the effects are most material, and how lenders can respond.
In response to the 2008 financial crisis, regulators and investors put pressure on the FASB and IASB to develop models that would require financial institutions to recognize losses earlier in the credit cycle. Measuring credit loss on Pools of loans...
Risk Management is a hot topic wherever we go. After the financial crisis and credit crunch hit the world economies the importance of Credit Risk Management emerged even more. Credit Portfolios, Credit Scoring and Creditworthiness of individuals and companies are common terms in the everyday life of the financial sector.
A best practice framework to determine Forward PDs for application in IFRS 9 ...Sohail Farooq
In order to fulfil regulatory requirements of IFRS 9 and Current Expected Credit Loss (CECL), Financial Institutions are required to calculate forward-looking probabilities of default (PD)
Under the new requirement by FASB (as well as IASB), expected credit loss must reflect current conditions and take into account broader information covering the foreseeable future that could affect the financial assets’ remaining contractual cash flows
Our clients learn how to develop best practice Point in Time, Forward and Lifetime PDs for use in IFRS 9, CECL, Stress Testing and other relevant risk applications
Banks are scrambling to meet with IFRS 9 guidelines and are setting down on the path to implement various ECL estimation methodologies and models. But a topic that hasn’t been given enough attention is the need for governance of these models and the attendant model risk management framework that needs to be set up to lend credibility to the model estimates. This blog touches upon the need for validation of models and how model risk governance has become paramount in view of the new guidelines.
Continuing with our updates on the key aspects of IFRS 9 Implementation, our current post (attached) talks about “Impairment Modelling in Retail ” where, key challenges are highlighted through questions and different solutions are proposed to address the same. The post attempts to address some key implementation challenges such as; Which approach to follow for analysis of retail portfolios?, What timeframe to consider for estimating lifetime of retail products?, How to link forward looking information with PDs? How to carry out Stage Allocation? And, what are the methods for calculation of ECL for Retail Portfolios?
As the methodologies for IFRS 9 Implementation are still evolving, many banks are in the process of developing a roadmap towards implementation and are still evaluating methodologies that are likely to conform to the principles of proportionality and materiality. To this end, Banks being advised are to develop a Target Operating Model (TOM) design, which seeks to identify and document the work program required to meet IFRS 9 requirements on Impairment modelling and ECL estimation.
A key metric that summarizes the credit worthiness of a bank’s obligor is the Probability of Default (PD). Besides credit worthiness assessment and capital computation under IRB, PD is one of the key metrics required in the updated IFRS 9 accounting standards. At present, there are many PD related terminologies used in the banking industry, such as: PIT PD, TTC PD, 12-month PD and so on. Such a wide spectrum of terminologies has led to confusion among users, especially when it comes to IFRS 9, which lays special focus on PIT PD and lifetime PD. This blog intends to clarify these key terminologies.
In the backdrop of the buzz that Interest Rate Risk in the Banking Book (IRRBB) has generated in the banking industry, Aptivaa is pleased to launch a series of articles providing our perspective on various issues highlighted by our esteemed clients during interactions in the recent months. This post gives an overview of the revised guidelines on IRRBB which has been issued by the Basel Committee, the approaches and the associated challenges in the implementation of IRRBB framework for all internationally active banks.We look forward to your valuable feedback on the current article or the challenges faced by you in IRRBB implementation.
In our earlier blog, we discussed PD terminology and PD calibration approaches as applicable to the IFRS 9 framework. In this blog, we have discussed the methodologies for adjusting PDs for the ‘forward-looking’ macroeconomic scenarios and development of PD Term Structure.
As the race against time to comply with IFRS 9 guidelines begins, several software solutions are being bandied about as a quick fix solution for automating the entire impairment modelling process. While automating is definitely the way to go in initiatives such as these, the question remains as to whether the software architecture should be of a strategic integrated nature or one that is decoupled and modular. In Aptivaa, we believe the answer to this lies in the 4Rs question: Readiness, Reflectiveness, Redundancy and Regularity.
This is the second post in the series of articles we have launched on various topics in the area of Asset Liability Management. Our prior post covered the recently issued Basel guidelines on Interest Rate Risk in the Banking Book (IRRBB).
A key aspect of the guidelines is the requirement for modeling of interest rate behavior of various balance sheet products. In this post we explore the nature of balance sheet cash flows, their key characteristics and sensitivity to market liquidity and interest rate movements. We also highlight how a deeper understanding of cash flow behavior is required to effectively manage the liquidity of the bank and also price balance sheet products. We focus particularly on the non-maturing deposits which form the single largest source of non-contractual cash flows of any bank.
rest rate modeling assumptions.
his is the second post in the series of articles we have launched on various topics in the area of Asset Liability Management. Our prior post covered the recently issued Basel guidelines on Interest Rate Risk in the Banking Book (IRRBB).
A key aspect of the guidelines is the requirement for modeling of interest rate behavior of various balance sheet products. In this post we explore the nature of balance sheet cash flows, their key characteristics and sensitivity to market liquidity and interest rate movements. We also highlight how a deeper understanding of cash flow behavior is required to effectively manage the liquidity of the bank and also price balance sheet products. We focus particularly on the non-maturing deposits which form the single largest source of non-contractual cash flows of any bank.
We look forward to your valuable feedback on the current article. We are also keen on hearing about any challenges faced by you in developing balance sheet liquidity and interest rate modeling assumptions.
IFRS (International Financial Reporting Standards) 9 is not just an accounting standard, but a game-changer. In today’s capital constrained environment, the increased volatility of P&L and that of associated regulatory capital are likely to have a profound impact across the stakeholder community. This presentation provides an overview of our assistance themes. If you are project sponsor or a stakeholder, please feel free to organize a call with us to discuss how Nexx can assist you.
Strategic implications of IFRS9 oliver wymanGeoff Holmes
IFRS9 will fundamentally change the level and dynamics of credit provisions, and will result in significantly diminished returns for some segments. To date, most banks have focussed on ensuring compliance, but with the 2018 implementation deadline approaching attention is turning to understanding and mitigating the impacts.
IFRS9 materially impacts lending economics, particularly for consumer credit and SME products where some segments will be significantly less attractive than today. Given all lenders are affected, this represents a challenge and an opportunity. Those who develop their responses early and optimise their actions stand a good chance of getting ahead of the competition.
The paper attached examines how IFRS9 impacts profitability, where the effects are most material, and how lenders can respond.
In response to the 2008 financial crisis, regulators and investors put pressure on the FASB and IASB to develop models that would require financial institutions to recognize losses earlier in the credit cycle. Measuring credit loss on Pools of loans...
Risk Management is a hot topic wherever we go. After the financial crisis and credit crunch hit the world economies the importance of Credit Risk Management emerged even more. Credit Portfolios, Credit Scoring and Creditworthiness of individuals and companies are common terms in the everyday life of the financial sector.
A best practice framework to determine Forward PDs for application in IFRS 9 ...Sohail Farooq
In order to fulfil regulatory requirements of IFRS 9 and Current Expected Credit Loss (CECL), Financial Institutions are required to calculate forward-looking probabilities of default (PD)
Under the new requirement by FASB (as well as IASB), expected credit loss must reflect current conditions and take into account broader information covering the foreseeable future that could affect the financial assets’ remaining contractual cash flows
Our clients learn how to develop best practice Point in Time, Forward and Lifetime PDs for use in IFRS 9, CECL, Stress Testing and other relevant risk applications
Rodel S. Navarro Business and Management Consultant and Director RODEL SY NAVARRO BUSINESS CONSULTANCY SERVICES (RSNBCS) Tel / Mobile: +63-0917-7333563 Email: rsnbcs@gmail.com http://www.slideshare.net/RSNBCS (About Business Laws compilation): http://www.slideshare.net/BUSINESSLAWSPH Email: businesslawsph@gmail.com
The Conceptual Framework was issued by the IASB in September 2010. It superseded the Framework for the Preparation and Presentation of Financial Statements. For details visit http://www.helpwithassignment.com/
When you need help for your online homework, you need professional experts and a dedicated organization to provide you with the best online assignment solutions which you can get at http://www.helpwithassignment.com/
In depth: New financial instruments impairment modelPwC
On June 16, 2016, the FASB issued Accounting Standards Update 2016-13, Financial Instruments – Credit Losses (Topic 326) (the “ASU”). The ASU introduces a new model for recognizing credit losses on financial instruments based on an estimate of current expected credit losses. The new model will apply to: (1) loans, accounts receivable, trade receivables, and other financial assets measured at amortized cost, (2) loan commitments and certain other off-balance sheet credit exposures, (3) debt securities and other financial assets measured at fair value through other comprehensive income, and (4) beneficial interests in securitized financial assets.
A Review of BCBS 239: Helping banks stay compliantHEXANIKA
Although the challenge to comply with BCBS 239 is vital, the scope is immense. Now that the Jan 2016 deadline for the G-SIBs is up, the rule is expected to extend to other financial institutions and banks. The principles will also apply to all key internal risk management models including market, credit, and counterparty risk. Establishing the principle guidelines and putting core capabilities in place has its merits.
The clarity that effective risk data aggregation provides will help banks streamline their businesses, and can allow banks to make better judgments through more accurate risk analysis. Aggregated information across all channels will enable to provide comprehensive support and services to existing customers. The robust data framework also helps banks supervise and anticipate future problems, giving them a clear view for data analysis.
It can lead to gains in efficiency, reduce probability of losses and enhance strategic decision making, ultimate benefiting a bank’s profitability.
Fundamental Review of the Trading Book (FRTB) – Data Challengesaccenture
In this Accenture Finance & Risk presentation we explore the challenges facing banks responding to the new Fundamental Review of the Trading Book (FRTB) rules and offer guidance on how to respond to these. http://bit.ly/2fojCKB
Counterparty Credit RISK | Evolution of standardised approachGRATeam
In this Article, we have made a focus on the new standard methodology (SA-CCR) for computing the EAD related to Counterparty Credit Risk portfolios. The implementation of a SA-CCR approach will become increasingly important for the Banks given the publication of the finalised Basel III reforms; in which it will require from financial institutions to compute an output floor to compare their level of RWAs between Internal and Standard approaches.
Counterparty Credit Risk | Evolution of
the standardised approach to determine the EAD of counterparties
This article focuses on Counterparty Credit Risk. The topic of this article is on the evolution and need of standardised method for the assessment of Exposure at Default of counterparties and their Capitalisation under regulatory requirements.
Aptivaa is pleased to launch a series of blogs to apprise readers of some of the key aspects related mostly to Impairment Modeling, for compliance with the new accounting standards (IFRS 9), as well as to have a conversation with the readers about the challenges that banks are facing in their implementation efforts
Comments on Basel Op Risk proposal finally published ...Genest Benoit
The Basel Committee finally decided to publish comments to its (controversial) consultation about "Standardised Measurement Approach for operational risk". Hereafter, our detailed answer
SMA | Comments on BCBS (June 2016) consultation (Standardized Measurement App...GRATeam
CH&Co provides a response to the Basel Committee on Banking Supervision’s consultative document based on the public data communicated by the Bank for International Settlements.
Our comments represent an open response including different lines of thought. However, the proposals should not be considered as final solutions but as a strong willingness on the part of CH&Co to open the debate about the Standardised Measurement Approach and to challenge the topics that seem relevant to us. We aim at identifying potential limits and weaknesses, providing alternatives and possible area for improvements. The proposals presented in this document are complementary, as they provide different visions and area for improvements within the SMA methodology.
Our comments relate to 3 areas:
SMA method inputs : specific analysis of the internal losses data
SMA method components : specific analysis of the LC
Capital calculation methodology : specific analysis of the SMA formula
What website can I sell pi coins securely.DOT TECH
Currently there are no website or exchange that allow buying or selling of pi coins..
But you can still easily sell pi coins, by reselling it to exchanges/crypto whales interested in holding thousands of pi coins before the mainnet launch.
Who is a pi merchant?
A pi merchant is someone who buys pi coins from miners and resell to these crypto whales and holders of pi..
This is because pi network is not doing any pre-sale. The only way exchanges can get pi is by buying from miners and pi merchants stands in between the miners and the exchanges.
How can I sell my pi coins?
Selling pi coins is really easy, but first you need to migrate to mainnet wallet before you can do that. I will leave the telegram contact of my personal pi merchant to trade with.
Tele-gram.
@Pi_vendor_247
Currently pi network is not tradable on binance or any other exchange because we are still in the enclosed mainnet.
Right now the only way to sell pi coins is by trading with a verified merchant.
What is a pi merchant?
A pi merchant is someone verified by pi network team and allowed to barter pi coins for goods and services.
Since pi network is not doing any pre-sale The only way exchanges like binance/huobi or crypto whales can get pi is by buying from miners. And a merchant stands in between the exchanges and the miners.
I will leave the telegram contact of my personal pi merchant. I and my friends has traded more than 6000pi coins successfully
Tele-gram
@Pi_vendor_247
how to sell pi coins effectively (from 50 - 100k pi)DOT TECH
Anywhere in the world, including Africa, America, and Europe, you can sell Pi Network Coins online and receive cash through online payment options.
Pi has not yet been launched on any exchange because we are currently using the confined Mainnet. The planned launch date for Pi is June 28, 2026.
Reselling to investors who want to hold until the mainnet launch in 2026 is currently the sole way to sell.
Consequently, right now. All you need to do is select the right pi network provider.
Who is a pi merchant?
An individual who buys coins from miners on the pi network and resells them to investors hoping to hang onto them until the mainnet is launched is known as a pi merchant.
debuts.
I'll provide you the Telegram username
@Pi_vendor_247
where can I find a legit pi merchant onlineDOT TECH
Yes. This is very easy what you need is a recommendation from someone who has successfully traded pi coins before with a merchant.
Who is a pi merchant?
A pi merchant is someone who buys pi network coins and resell them to Investors looking forward to hold thousands of pi coins before the open mainnet.
I will leave the telegram contact of my personal pi merchant to trade with
@Pi_vendor_247
how can I sell pi coins after successfully completing KYCDOT TECH
Pi coins is not launched yet in any exchange 💱 this means it's not swappable, the current pi displaying on coin market cap is the iou version of pi. And you can learn all about that on my previous post.
RIGHT NOW THE ONLY WAY you can sell pi coins is through verified pi merchants. A pi merchant is someone who buys pi coins and resell them to exchanges and crypto whales. Looking forward to hold massive quantities of pi coins before the mainnet launch.
This is because pi network is not doing any pre-sale or ico offerings, the only way to get my coins is from buying from miners. So a merchant facilitates the transactions between the miners and these exchanges holding pi.
I and my friends has sold more than 6000 pi coins successfully with this method. I will be happy to share the contact of my personal pi merchant. The one i trade with, if you have your own merchant you can trade with them. For those who are new.
Message: @Pi_vendor_247 on telegram.
I wouldn't advise you selling all percentage of the pi coins. Leave at least a before so its a win win during open mainnet. Have a nice day pioneers ♥️
#kyc #mainnet #picoins #pi #sellpi #piwallet
#pinetwork
Turin Startup Ecosystem 2024 - Ricerca sulle Startup e il Sistema dell'Innov...Quotidiano Piemontese
Turin Startup Ecosystem 2024
Una ricerca de il Club degli Investitori, in collaborazione con ToTeM Torino Tech Map e con il supporto della ESCP Business School e di Growth Capital
What price will pi network be listed on exchangesDOT TECH
The rate at which pi will be listed is practically unknown. But due to speculations surrounding it the predicted rate is tends to be from 30$ — 50$.
So if you are interested in selling your pi network coins at a high rate tho. Or you can't wait till the mainnet launch in 2026. You can easily trade your pi coins with a merchant.
A merchant is someone who buys pi coins from miners and resell them to Investors looking forward to hold massive quantities till mainnet launch.
I will leave the telegram contact of my personal pi vendor to trade with.
@Pi_vendor_247
USDA Loans in California: A Comprehensive Overview.pptxmarketing367770
USDA Loans in California: A Comprehensive Overview
If you're dreaming of owning a home in California's rural or suburban areas, a USDA loan might be the perfect solution. The U.S. Department of Agriculture (USDA) offers these loans to help low-to-moderate-income individuals and families achieve homeownership.
Key Features of USDA Loans:
Zero Down Payment: USDA loans require no down payment, making homeownership more accessible.
Competitive Interest Rates: These loans often come with lower interest rates compared to conventional loans.
Flexible Credit Requirements: USDA loans have more lenient credit score requirements, helping those with less-than-perfect credit.
Guaranteed Loan Program: The USDA guarantees a portion of the loan, reducing risk for lenders and expanding borrowing options.
Eligibility Criteria:
Location: The property must be located in a USDA-designated rural or suburban area. Many areas in California qualify.
Income Limits: Applicants must meet income guidelines, which vary by region and household size.
Primary Residence: The home must be used as the borrower's primary residence.
Application Process:
Find a USDA-Approved Lender: Not all lenders offer USDA loans, so it's essential to choose one approved by the USDA.
Pre-Qualification: Determine your eligibility and the amount you can borrow.
Property Search: Look for properties in eligible rural or suburban areas.
Loan Application: Submit your application, including financial and personal information.
Processing and Approval: The lender and USDA will review your application. If approved, you can proceed to closing.
USDA loans are an excellent option for those looking to buy a home in California's rural and suburban areas. With no down payment and flexible requirements, these loans make homeownership more attainable for many families. Explore your eligibility today and take the first step toward owning your dream home.
how to sell pi coins at high rate quickly.DOT TECH
Where can I sell my pi coins at a high rate.
Pi is not launched yet on any exchange. But one can easily sell his or her pi coins to investors who want to hold pi till mainnet launch.
This means crypto whales want to hold pi. And you can get a good rate for selling pi to them. I will leave the telegram contact of my personal pi vendor below.
A vendor is someone who buys from a miner and resell it to a holder or crypto whale.
Here is the telegram contact of my vendor:
@Pi_vendor_247
when will pi network coin be available on crypto exchange.DOT TECH
There is no set date for when Pi coins will enter the market.
However, the developers are working hard to get them released as soon as possible.
Once they are available, users will be able to exchange other cryptocurrencies for Pi coins on designated exchanges.
But for now the only way to sell your pi coins is through verified pi vendor.
Here is the telegram contact of my personal pi vendor
@Pi_vendor_247
12. About
Aptivaa is a vertically focused finance and risk management
consulting and analytics firm with world-class competencies in Credit
Risk, Market Risk, Operational Risk, Basel III, IFRS-9, Risk Analytics,
COSO, ALM, Model Risk Management, ICAAP, Stress Testing, Risk
Data and Reporting. Aptivaa has emerged as a leading risk
management solutions firm having served over 100 clients across 22
countries comprising of highly respected names in the financial
services industry.
Aptivaa’s LEO suite of proprietary tools & frameworks are designed to
accelerate IFRS-9 implementation in areas such as classification,
stage evaluation, PIT-PD Calibration, Lifetime-PD, LGD, EAD and
Lifetime ECL.
UAE US UK India| | |
Feel free to send your IFRS-9 related queries to:
Sandip Mukherjee
Co-Founder and Principal Consultant
Email: sandip.mukherjee@aptivaa.com
Phone: +91- 98210- 41373
Contact: info@aptivaa.com | www.linkedin.com/company/aptivaaWebsite: www.aptivaa.com |