{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/9a468e8a27f448d1b84390877aee4a03\" frameborder=\"0\" width=\"1282\" height=\"961\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":961,"width":1282,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":961,"thumbnail_width":1282,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/9a468e8a27f448d1b84390877aee4a03-1713548740108.gif","duration":104.57,"title":"Portfolio Optimization Use Case","description":"In this video, I discuss a portfolio optimization use case where we aim to optimize a portfolio that is currently losing almost 2.4 billion dollars. I explore the impact of a hundred basis point increase in corporate yields and reducing the cost income ratio on the consumer side. By making these adjustments, we are able to reduce the loss to about 1.6 billion dollars. I also highlight the convenience of using active graphs as inputs to change assumptions and immediately see the results. Action requested: Watch the video to learn more about this portfolio optimization use case."}