Statistically Forecasting Financial Crashes
We would like you to put together a model that predicts, within a probability band, when a financial crash may occur for a given financial security/ asset.
The end goal is to have a program where we can enter any given security and it will tell us if it is, in fact, in "bubble" territory and if so, when is the most likely time for a correction or alteration in the price pattern.
The first stage in this project is to create a viable model that can determine if a given security is in a bubble and if so, statistically forecast the highest probable time for a correction.
To give you a head-start on the process, we have attached a thesis on the topic. Some of the important foundational work has been done, which should give you a good starting point for this project.
We are wanting an experienced stats/ maths genius with a can-do attitude to join our team and give it your best shot at creating a solution with us. We are seeking a smart, clever, hardworking person that takes initiatives.
We would like you to put forward a genuine proposal to us, outlining how you will turn this project goal into a reality, no generic responses will be considered. We appreciate that the information regarding your process and methods is not something that is ideally posted in a public reply to us, so Skype calls with all suitable applicants will be necessary.
We look forward to your response,