Does a PhD degree in mathematics or statistics give me an edge over someone with just a bachelor's degree in economics if I want to work in a hedge fund or an investment bank (especially in the current changing field)?
PhD degree can be helpful if you are interested in working as a Quantitative Risk/ Trading Analyst.
I personally feel that Economics and Finance have been hijacked by Physicists, Mathematicians and Statisticians.
There’s too much #Charlatanism in the subject.
Economics is the envy of Physics these days.
So, I think financial companies prefer to hire grads with second to none quantitative knowledge.
It is not just #statistics, but a new beast has emerged out of quantitative methods, & that happens to be Data Science.
So, why not go for a PhD in Data Science, or Business (Financial/Risk) Analytics, Artificial Intelligence, Deep Learning Models or Machine Learning?
Which essentially is an admixture of Mathematics, Coding, and Statistics, which includes generally Computational Operations Research and Statistics, 4GL Programming(deep learning etc) using R or Python, Database Management and Engineering, Cloud Computing,
That can surely land you in a much better job at either Hedge Funds/Mutual Funds /Pension Funds and/or Investment Banks instead of doing a Doctorate in Economics or General Statistics.
Bachelors Degree in Economics cannot be compared with a PhD in Statistics.
They are different qualification levels.
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There is a vested commercial interest in increasing #complexity around everything.
Some scholars and intellectual propagandists would like to make things appear overly complicated because that is how they can make money.
#Complexity problem can be broken down by asking relevant straightforward questions and providing equally relevant simple-minded answers which address the root causes and understands the effects.
Many students doing basic mathematics cannot distinguish between #iteration, #simulation, and #emulation as different methods of experiment design.
Even further surprised why so many students don't know the similarity and the difference between computation and calculation.
These are some of the basic mistakes which one, embedded into the mind, will work their way right into a workplace and destroy our educational foundations
For, e.g. when I was teaching Introduction to FRM Financial Risk Management, I noticed many students thought they are three different types of VaR - Value at Risk.
What they didn't realize is that VaR can be computed using different models aka methodologies, namely, HS, VCV, MCS.
Did the #Irish Central Bank provide sovereign guarantees to buyers of Irish Bank Bonds and other contractual debt liabilities classified as fixed income securities, before the #GFC struck?
I asked this question after watching Professor Kelly on YouTube.
He was describing how the #Irish Central Bank allowed banks to import capital in large sums, and later lend it out to housing finance borrowers.
That created a severe #ALM Mismatch, as homes are not liquid assets.
Only after the #GFC, did the Irish and other banks realize that a run on the #deposits could lead to financial #insolvency. #Ruin#Risk by definition is the gap between Unexpected #Loss and Expected Loss.
As the gap increases, the chances of financial ruin and #default rises too!
How do you prepare for an investor relations interview at a large asset management company managing multiple funds?
Speak with confidence, dress well and above all use an impressive array of financial jargon and cutting edge terms, as many as you can, to make the employer feel comfortable.
In modern times, you should also be familiar with some data science concepts.
E.g. how data visualization tools can help the customer extract value from the research reports.
You need to know everything about Capital Markets at least.
Investment Banking and Asset Management Sector /brokerage require an exceptional understanding of debt and equity market instruments and asset classes.
Sound knowledge of derivative markets will add to your CV.