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Artificial intelligence based on neural networks built using the newest algorithms for self-learning, analysis and compariso eurons in which will be self corrected, based on the history of success and failure, taking into account the correlation of the objects of analysis.
- -Due to the use of large computing power and artificial based on the neural network.
- Download Whitepaper +The Blockchain & Climate Institute (BCI) is a leading international think tank aiming to bring to market the necessary financial technologies to address the climate emergency. This team proposes to deliver the innovation of scaling the Sustainability Linked Fixed Income Market (Bonds/Loans) with the support of Digital Technologies like Artificial Intelligence (AI), Internet of Things (IoT) and Distributed Ledger Technologies (DLT).
+The specific use case is chosen is the “UK Real Estate” sector.
+The solution aims to address many of the current challenges with the scaling of Green Bonds on Blockchain. When looking at the proposed solution, we have chosen the Algorand Blockchain for our platform for green bond issuance (Katten, 2021). It offers “Green Bonds as a Service” and provides the advantages of both fractional asset ownership and minimal associated costs.
+ + Download ReportArtificial intelligence based on neural networks built using the newest algorithms for self-learning, analysis and compariso eurons in which will be self corrected, based on the history of success and failure, taking into account the correlation of the objects of analysis.
+1.) A real estate Automatic Valuation Model (AVM) to provide real estate asset valuations for all UK residential properties.
+2.) The CREMM model which uses the output of the AVM among other inputs.
+3.) The physical risk model.
+All solutions are available via PYPI
-Due to the use of large computing power and artificial based on the neural network.
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Artificial intelligence based on neural networks built using the newest algorithms for self-learning, analysis and compariso eurons in which will be self corrected, based on the history of success and failure, taking into account the correlation of the objects of analysis.
- -Due to the use of large computing power and artificial based on the neural network.
+The proposal has shown the capacity to provide a transparent and effective method of issuing green bonds on the Algorand blockchain.
+The BCI Proposal aimed at problem statement 3 (PS3), better connecting projects and investors, is built on the foundations of past work and solutions at BCI. Wherein, we were able to ascertain that PS3 would provide BCI the opportunity to add the most value, we took the opportunity to delve deeper given the experience BCI has with technologies like Artificial Intelligence (AI), Internet of Things (IoT) and Distributed Ledger Technologies (DLT) for delivering the proposed innovation of scaling the Sustainability-Linked Fixed Income Market (Bonds/Loans).
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Due to the use of large computing power and artificial based on the neural network, the NRM assistant will instantly analyze user data and offer solutions for their further use.
+Green Bonds promote greater transparency on how issuers and investors use their funds and evaluate their impacts.
Due to the use of large computing power is assistant will instantly analyze user data offer solutions for their further use orem Ipsum has been the industry's st
+ +Step by Step Example Bond Issuance Process on the Algorand Blockchain
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+An ESCO utilizes the BCI TCFD package to evaluate and select suitable real estate assets that would benefit from retrofitting as a means of preventing the assets from becoming stranded.
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+A series of suitable projects are grouped together to form a bond
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+The ESCO issues the bond containing with parameters; number of bonds to mint, number of coupon payments, start buy date, end buy date, maturity date, bond cost, bond coupon value and bond principal amount.
+ Following the submission of the form by the issuer, a request is sent to the backend. The associated parameters can then be encoded into smart contracts and deployed.
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+ Given the bond parameters, investors can select the bonds that they would like to invest in. To open the market to smaller investors, fractional asset ownership is also possible.
+ Financial regulators approve the issuance. The financial regulator has the capacity to perform KYC and AML checks before approving an investor. The regulator also has the capacity to freeze accounts in the event of any financial irregularities
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+ Initially, and at every coupon payment period, typically annually or biannually, the green verifier reviews a pdf report that outlines the green credentials of the bond overtime and subsequently submits a green rating. Depending on the verifiers judgement, the coupon rate can be changed.
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+ The report will contain details of how the retrofitting process has been carried out for all the properties included within the bond, along with the outcomes on the EPC rating of the assets due to the retrofits.
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+ It is possible that following a retrofitting project, a property could temporarily gain an improved EPC rating before returning to the original rating if the property isn’t managed properly. To prevent such greenwashing, as outlined in step 7, an updated PDF report should be issued to the green verifier at every coupon payment period.
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+ At any stage during the lifecycle of the bond, investors can trade it on the secondary market at a coupon rate in keeping with the green verifiers rating at any given point. In the secondary market, a low green rating may also lead to reduced bond pricing and could reflect poorly on both the issuer of the bond and the ESG fund managers that made the decision to invest in green bond that is now rated poorly. The financial regulators will pay a similar role when bonds are sold on the secondary market as they did when the bond was first issued.
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+ At maturity, the principal amount will be paid
+Due to the use of large computing power and artificial based on the neural network, the NRM assistant will instantly analyze user data and offer solutions for their further use.
+BCI development history and future plans are as follows:
It is a long established fact that a reader will be looking at its layout.
+BCI started with an understanding of the urgent need to tackle climate change today, for a better tomorrow.
It is a long established fact that a reader will be looking at its layout.
+BCI Began development of the real estate Automatic Valuation Model (AVM), CRREM model, and Physical Risk models, aiming to provide a comprehensive TCFD open-source package.
It is a long established fact that a reader will be looking at its layout.
+BCI Enters the Techsprint 2021 contest.
It is a long established fact that a reader will be looking at its layout.
+Utilizing the platform in countries aside from the UK
+Use of Different Mechanisms to monitor the management of proceeds
+Alternative Sector Use Cases
+Different Structures and Innovations of Green Bonds on DLT platform
+Employing Exchange-traded Fund
+Further exploration of potential to tokenize elements of the proposal
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