Forms
to_do_list_items
Form type:
"App\Form\ToDoListItemsType"
Errors
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Default Data
| Property | Value |
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| Normalized Format | App\Entity\ToDoListItems {#1022 -id: 121 -project: Proxies\__CG__\App\Entity\ToDoList {#1200 -id: 52 -priority: 6.0 -project: "XVA Consulting" -accessTo: Doctrine\ORM\PersistentCollection {#1323 …} -liveWebsite: "https://xvaconsulting.atts-systems.com/" -summary: null -monthlyRevenue: 0.0 -cDevDirectory: "xvaconsulting" -sqlDatabaseFileName: "xvaconsulting" -atsTemplateLastUpdated: DateTime @1748340839 {#1322 : 2025-05-27 10:13:59.0 UTC (+00:00) } -activeCodingProject: true -liveWebsiteWorking: false -expandCollapse: "Collapse" +__isInitialized__: true …2 } -status: "Complete" -priority: 1.0 -task: "<p><strong>Introduction</strong></p><p>With a career spanning several prestigious institutions, I have accumulated a wealth of experience and expertise that can be of significant value to your organization. I invite you to explore my journey and accomplishments in various roles across the financial industry.</p><p>During my tenure at JPMorgan, I led a transformative initiative within the Clearing and F&O business. By introducing front-office risk-management and pricing discipline to this previously considered "agency" business, I successfully revamped the risk and capital infrastructure. This endeavor resulted in doubling the revenue of the Clearing business while reducing the capital, GSIB, and residual interest footprint. Notably, my team's contributions led JPMorgan to win the Risk award for best OTC Client Clearer in 2019 and 2021.</p><p>Prior to that, I played a pivotal role in implementing funding adjustments (FVA) and lifetime cost of capital (KVA) for the derivative franchise globally, which had a substantial impact on the firm's performance. Furthermore, I spearheaded the introduction of single and multi-currency OIS discounting for collateralized derivatives, establishing a centralized firm-wide utility for managing funding risks across all lines of business and regions.</p><p> </p><p> </p><p><strong>XVA</strong></p><p><strong>1. Collateral optimisation/CSA renegotiation/Differential Discounting (DD) recognition</strong></p><p>The idea of capturing value in trades through recognition of different eligible assets (i.e. initially the issue of moving from Libor to OIS discounting, but also extending to other assets in the CSA) has been well known since around 2009-10 (when GS reputedly made the majority of their FICC revenue optimising for this). Most dealers have updated their systems to avoid this arbitrage in their bilateral business (crystallizing considerable costs for the late movers). </p><p>However, this concept is not completely efficiently captured in every aspect of the market, for example where the trades are “given-in” under a Clearing Agreement. That market is a post trade approval market and essentially DD-agnostic and hence it is still open to arbitrage. Specifically, when a client goes to market, the Executing Broker (EB) prices the trade according to their DD curve facing the Clearing Agent. These can be different from different EBs, and is not the same curve as the DD curve the Clearing Agent has with the client. So, in effect, the trade is priced on the “wrong” discount (DD) curve and a client could potentially identify backwardation opportunities particularly for trades with large funding deltas. </p><p><strong>2. CVA mining and IM optimisation – XVA Hub</strong></p><p>Should a corporate or hedge fund have any uncollateralised risk, a Central Hub function could help mine bank’s CVA reserves where there are offsetting risk and or credit deltas across counterparties.</p><p>Similar to CVA mining, moving trades between counterparties can optimise the availability of the $50m threshold under the Non-Cleared Margin Rules (NCMR), reducing total IM funding needs. For example, if their cost of debt is 5%, adding 5 dealers and optimising for threshold could save 5*$50m*5% = 12.5m per annum</p><p>Another specific variant of the IM optimisation idea is to convert Cleared IR delta into uncleared put and call swaptions, where the IM can be bilaterally negotiated and offset bilateral risk. In essence, it can result in free funding. </p><p>A large hedge fund, recently set up a Central Hub to manage the relationships and XVAs with all their dealers, to prevent unnecessary credit costs/exposures and to minimise margin funding costs.</p><p> </p>" -hoursAllocated: null -immediatePriority: "Top Priority" -attachment: null -needsResearch: "No" -lastSaved: null } |
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| data | App\Entity\ToDoListItems {#1022 -id: 121 -project: Proxies\__CG__\App\Entity\ToDoList {#1200 -id: 52 -priority: 6.0 -project: "XVA Consulting" -accessTo: Doctrine\ORM\PersistentCollection {#1323 …} -liveWebsite: "https://xvaconsulting.atts-systems.com/" -summary: null -monthlyRevenue: 0.0 -cDevDirectory: "xvaconsulting" -sqlDatabaseFileName: "xvaconsulting" -atsTemplateLastUpdated: DateTime @1748340839 {#1322 : 2025-05-27 10:13:59.0 UTC (+00:00) } -activeCodingProject: true -liveWebsiteWorking: false -expandCollapse: "Collapse" +__isInitialized__: true …2 } -status: "Complete" -priority: 1.0 -task: "<p><strong>Introduction</strong></p><p>With a career spanning several prestigious institutions, I have accumulated a wealth of experience and expertise that can be of significant value to your organization. I invite you to explore my journey and accomplishments in various roles across the financial industry.</p><p>During my tenure at JPMorgan, I led a transformative initiative within the Clearing and F&O business. By introducing front-office risk-management and pricing discipline to this previously considered "agency" business, I successfully revamped the risk and capital infrastructure. This endeavor resulted in doubling the revenue of the Clearing business while reducing the capital, GSIB, and residual interest footprint. Notably, my team's contributions led JPMorgan to win the Risk award for best OTC Client Clearer in 2019 and 2021.</p><p>Prior to that, I played a pivotal role in implementing funding adjustments (FVA) and lifetime cost of capital (KVA) for the derivative franchise globally, which had a substantial impact on the firm's performance. Furthermore, I spearheaded the introduction of single and multi-currency OIS discounting for collateralized derivatives, establishing a centralized firm-wide utility for managing funding risks across all lines of business and regions.</p><p> </p><p> </p><p><strong>XVA</strong></p><p><strong>1. Collateral optimisation/CSA renegotiation/Differential Discounting (DD) recognition</strong></p><p>The idea of capturing value in trades through recognition of different eligible assets (i.e. initially the issue of moving from Libor to OIS discounting, but also extending to other assets in the CSA) has been well known since around 2009-10 (when GS reputedly made the majority of their FICC revenue optimising for this). Most dealers have updated their systems to avoid this arbitrage in their bilateral business (crystallizing considerable costs for the late movers). </p><p>However, this concept is not completely efficiently captured in every aspect of the market, for example where the trades are “given-in” under a Clearing Agreement. That market is a post trade approval market and essentially DD-agnostic and hence it is still open to arbitrage. Specifically, when a client goes to market, the Executing Broker (EB) prices the trade according to their DD curve facing the Clearing Agent. These can be different from different EBs, and is not the same curve as the DD curve the Clearing Agent has with the client. So, in effect, the trade is priced on the “wrong” discount (DD) curve and a client could potentially identify backwardation opportunities particularly for trades with large funding deltas. </p><p><strong>2. CVA mining and IM optimisation – XVA Hub</strong></p><p>Should a corporate or hedge fund have any uncollateralised risk, a Central Hub function could help mine bank’s CVA reserves where there are offsetting risk and or credit deltas across counterparties.</p><p>Similar to CVA mining, moving trades between counterparties can optimise the availability of the $50m threshold under the Non-Cleared Margin Rules (NCMR), reducing total IM funding needs. For example, if their cost of debt is 5%, adding 5 dealers and optimising for threshold could save 5*$50m*5% = 12.5m per annum</p><p>Another specific variant of the IM optimisation idea is to convert Cleared IR delta into uncleared put and call swaptions, where the IM can be bilaterally negotiated and offset bilateral risk. In essence, it can result in free funding. </p><p>A large hedge fund, recently set up a Central Hub to manage the relationships and XVAs with all their dealers, to prevent unnecessary credit costs/exposures and to minimise margin funding costs.</p><p> </p>" -hoursAllocated: null -immediatePriority: "Top Priority" -attachment: null -needsResearch: "No" -lastSaved: null } |
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same as passed value |
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| data | App\Entity\ToDoListItems {#1022 -id: 121 -project: Proxies\__CG__\App\Entity\ToDoList {#1200 -id: 52 -priority: 6.0 -project: "XVA Consulting" -accessTo: Doctrine\ORM\PersistentCollection {#1323 …} -liveWebsite: "https://xvaconsulting.atts-systems.com/" -summary: null -monthlyRevenue: 0.0 -cDevDirectory: "xvaconsulting" -sqlDatabaseFileName: "xvaconsulting" -atsTemplateLastUpdated: DateTime @1748340839 {#1322 : 2025-05-27 10:13:59.0 UTC (+00:00) } -activeCodingProject: true -liveWebsiteWorking: false -expandCollapse: "Collapse" +__isInitialized__: true …2 } -status: "Complete" -priority: 1.0 -task: "<p><strong>Introduction</strong></p><p>With a career spanning several prestigious institutions, I have accumulated a wealth of experience and expertise that can be of significant value to your organization. I invite you to explore my journey and accomplishments in various roles across the financial industry.</p><p>During my tenure at JPMorgan, I led a transformative initiative within the Clearing and F&O business. By introducing front-office risk-management and pricing discipline to this previously considered "agency" business, I successfully revamped the risk and capital infrastructure. This endeavor resulted in doubling the revenue of the Clearing business while reducing the capital, GSIB, and residual interest footprint. Notably, my team's contributions led JPMorgan to win the Risk award for best OTC Client Clearer in 2019 and 2021.</p><p>Prior to that, I played a pivotal role in implementing funding adjustments (FVA) and lifetime cost of capital (KVA) for the derivative franchise globally, which had a substantial impact on the firm's performance. Furthermore, I spearheaded the introduction of single and multi-currency OIS discounting for collateralized derivatives, establishing a centralized firm-wide utility for managing funding risks across all lines of business and regions.</p><p> </p><p> </p><p><strong>XVA</strong></p><p><strong>1. Collateral optimisation/CSA renegotiation/Differential Discounting (DD) recognition</strong></p><p>The idea of capturing value in trades through recognition of different eligible assets (i.e. initially the issue of moving from Libor to OIS discounting, but also extending to other assets in the CSA) has been well known since around 2009-10 (when GS reputedly made the majority of their FICC revenue optimising for this). Most dealers have updated their systems to avoid this arbitrage in their bilateral business (crystallizing considerable costs for the late movers). </p><p>However, this concept is not completely efficiently captured in every aspect of the market, for example where the trades are “given-in” under a Clearing Agreement. That market is a post trade approval market and essentially DD-agnostic and hence it is still open to arbitrage. Specifically, when a client goes to market, the Executing Broker (EB) prices the trade according to their DD curve facing the Clearing Agent. These can be different from different EBs, and is not the same curve as the DD curve the Clearing Agent has with the client. So, in effect, the trade is priced on the “wrong” discount (DD) curve and a client could potentially identify backwardation opportunities particularly for trades with large funding deltas. </p><p><strong>2. CVA mining and IM optimisation – XVA Hub</strong></p><p>Should a corporate or hedge fund have any uncollateralised risk, a Central Hub function could help mine bank’s CVA reserves where there are offsetting risk and or credit deltas across counterparties.</p><p>Similar to CVA mining, moving trades between counterparties can optimise the availability of the $50m threshold under the Non-Cleared Margin Rules (NCMR), reducing total IM funding needs. For example, if their cost of debt is 5%, adding 5 dealers and optimising for threshold could save 5*$50m*5% = 12.5m per annum</p><p>Another specific variant of the IM optimisation idea is to convert Cleared IR delta into uncleared put and call swaptions, where the IM can be bilaterally negotiated and offset bilateral risk. In essence, it can result in free funding. </p><p>A large hedge fund, recently set up a Central Hub to manage the relationships and XVAs with all their dealers, to prevent unnecessary credit costs/exposures and to minimise margin funding costs.</p><p> </p>" -hoursAllocated: null -immediatePriority: "Top Priority" -attachment: null -needsResearch: "No" -lastSaved: null } |
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| data | App\Entity\ToDoListItems {#1022 -id: 121 -project: Proxies\__CG__\App\Entity\ToDoList {#1200 -id: 52 -priority: 6.0 -project: "XVA Consulting" -accessTo: Doctrine\ORM\PersistentCollection {#1323 …} -liveWebsite: "https://xvaconsulting.atts-systems.com/" -summary: null -monthlyRevenue: 0.0 -cDevDirectory: "xvaconsulting" -sqlDatabaseFileName: "xvaconsulting" -atsTemplateLastUpdated: DateTime @1748340839 {#1322 : 2025-05-27 10:13:59.0 UTC (+00:00) } -activeCodingProject: true -liveWebsiteWorking: false -expandCollapse: "Collapse" +__isInitialized__: true …2 } -status: "Complete" -priority: 1.0 -task: "<p><strong>Introduction</strong></p><p>With a career spanning several prestigious institutions, I have accumulated a wealth of experience and expertise that can be of significant value to your organization. I invite you to explore my journey and accomplishments in various roles across the financial industry.</p><p>During my tenure at JPMorgan, I led a transformative initiative within the Clearing and F&O business. By introducing front-office risk-management and pricing discipline to this previously considered "agency" business, I successfully revamped the risk and capital infrastructure. This endeavor resulted in doubling the revenue of the Clearing business while reducing the capital, GSIB, and residual interest footprint. Notably, my team's contributions led JPMorgan to win the Risk award for best OTC Client Clearer in 2019 and 2021.</p><p>Prior to that, I played a pivotal role in implementing funding adjustments (FVA) and lifetime cost of capital (KVA) for the derivative franchise globally, which had a substantial impact on the firm's performance. Furthermore, I spearheaded the introduction of single and multi-currency OIS discounting for collateralized derivatives, establishing a centralized firm-wide utility for managing funding risks across all lines of business and regions.</p><p> </p><p> </p><p><strong>XVA</strong></p><p><strong>1. Collateral optimisation/CSA renegotiation/Differential Discounting (DD) recognition</strong></p><p>The idea of capturing value in trades through recognition of different eligible assets (i.e. initially the issue of moving from Libor to OIS discounting, but also extending to other assets in the CSA) has been well known since around 2009-10 (when GS reputedly made the majority of their FICC revenue optimising for this). Most dealers have updated their systems to avoid this arbitrage in their bilateral business (crystallizing considerable costs for the late movers). </p><p>However, this concept is not completely efficiently captured in every aspect of the market, for example where the trades are “given-in” under a Clearing Agreement. That market is a post trade approval market and essentially DD-agnostic and hence it is still open to arbitrage. Specifically, when a client goes to market, the Executing Broker (EB) prices the trade according to their DD curve facing the Clearing Agent. These can be different from different EBs, and is not the same curve as the DD curve the Clearing Agent has with the client. So, in effect, the trade is priced on the “wrong” discount (DD) curve and a client could potentially identify backwardation opportunities particularly for trades with large funding deltas. </p><p><strong>2. CVA mining and IM optimisation – XVA Hub</strong></p><p>Should a corporate or hedge fund have any uncollateralised risk, a Central Hub function could help mine bank’s CVA reserves where there are offsetting risk and or credit deltas across counterparties.</p><p>Similar to CVA mining, moving trades between counterparties can optimise the availability of the $50m threshold under the Non-Cleared Margin Rules (NCMR), reducing total IM funding needs. For example, if their cost of debt is 5%, adding 5 dealers and optimising for threshold could save 5*$50m*5% = 12.5m per annum</p><p>Another specific variant of the IM optimisation idea is to convert Cleared IR delta into uncleared put and call swaptions, where the IM can be bilaterally negotiated and offset bilateral risk. In essence, it can result in free funding. </p><p>A large hedge fund, recently set up a Central Hub to manage the relationships and XVAs with all their dealers, to prevent unnecessary credit costs/exposures and to minimise margin funding costs.</p><p> </p>" -hoursAllocated: null -immediatePriority: "Top Priority" -attachment: null -needsResearch: "No" -lastSaved: null } |
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| value | App\Entity\ToDoListItems {#1022 -id: 121 -project: Proxies\__CG__\App\Entity\ToDoList {#1200 -id: 52 -priority: 6.0 -project: "XVA Consulting" -accessTo: Doctrine\ORM\PersistentCollection {#1323 …} -liveWebsite: "https://xvaconsulting.atts-systems.com/" -summary: null -monthlyRevenue: 0.0 -cDevDirectory: "xvaconsulting" -sqlDatabaseFileName: "xvaconsulting" -atsTemplateLastUpdated: DateTime @1748340839 {#1322 : 2025-05-27 10:13:59.0 UTC (+00:00) } -activeCodingProject: true -liveWebsiteWorking: false -expandCollapse: "Collapse" +__isInitialized__: true …2 } -status: "Complete" -priority: 1.0 -task: "<p><strong>Introduction</strong></p><p>With a career spanning several prestigious institutions, I have accumulated a wealth of experience and expertise that can be of significant value to your organization. I invite you to explore my journey and accomplishments in various roles across the financial industry.</p><p>During my tenure at JPMorgan, I led a transformative initiative within the Clearing and F&O business. By introducing front-office risk-management and pricing discipline to this previously considered "agency" business, I successfully revamped the risk and capital infrastructure. This endeavor resulted in doubling the revenue of the Clearing business while reducing the capital, GSIB, and residual interest footprint. Notably, my team's contributions led JPMorgan to win the Risk award for best OTC Client Clearer in 2019 and 2021.</p><p>Prior to that, I played a pivotal role in implementing funding adjustments (FVA) and lifetime cost of capital (KVA) for the derivative franchise globally, which had a substantial impact on the firm's performance. Furthermore, I spearheaded the introduction of single and multi-currency OIS discounting for collateralized derivatives, establishing a centralized firm-wide utility for managing funding risks across all lines of business and regions.</p><p> </p><p> </p><p><strong>XVA</strong></p><p><strong>1. Collateral optimisation/CSA renegotiation/Differential Discounting (DD) recognition</strong></p><p>The idea of capturing value in trades through recognition of different eligible assets (i.e. initially the issue of moving from Libor to OIS discounting, but also extending to other assets in the CSA) has been well known since around 2009-10 (when GS reputedly made the majority of their FICC revenue optimising for this). Most dealers have updated their systems to avoid this arbitrage in their bilateral business (crystallizing considerable costs for the late movers). </p><p>However, this concept is not completely efficiently captured in every aspect of the market, for example where the trades are “given-in” under a Clearing Agreement. That market is a post trade approval market and essentially DD-agnostic and hence it is still open to arbitrage. Specifically, when a client goes to market, the Executing Broker (EB) prices the trade according to their DD curve facing the Clearing Agent. These can be different from different EBs, and is not the same curve as the DD curve the Clearing Agent has with the client. So, in effect, the trade is priced on the “wrong” discount (DD) curve and a client could potentially identify backwardation opportunities particularly for trades with large funding deltas. </p><p><strong>2. CVA mining and IM optimisation – XVA Hub</strong></p><p>Should a corporate or hedge fund have any uncollateralised risk, a Central Hub function could help mine bank’s CVA reserves where there are offsetting risk and or credit deltas across counterparties.</p><p>Similar to CVA mining, moving trades between counterparties can optimise the availability of the $50m threshold under the Non-Cleared Margin Rules (NCMR), reducing total IM funding needs. For example, if their cost of debt is 5%, adding 5 dealers and optimising for threshold could save 5*$50m*5% = 12.5m per annum</p><p>Another specific variant of the IM optimisation idea is to convert Cleared IR delta into uncleared put and call swaptions, where the IM can be bilaterally negotiated and offset bilateral risk. In essence, it can result in free funding. </p><p>A large hedge fund, recently set up a Central Hub to manage the relationships and XVAs with all their dealers, to prevent unnecessary credit costs/exposures and to minimise margin funding costs.</p><p> </p>" -hoursAllocated: null -immediatePriority: "Top Priority" -attachment: null -needsResearch: "No" -lastSaved: null } |