What is the difference between financial econometrics, econometrics and quantitative finance?
@GARP_Risk @CQFInstitute @SOActuaries
Financial Econometrics basically utilizes Financial Market Data to build mathematical and statistical financial models and later analyze the statistical significance and make predictions.
It is generally used by risk managers and economists to predict(forecast) and study the return market characteristics. GARCH models and other Time Series Models are used to study the pattern of Return Volatility Clusters, Tail Dependence Events, Covariances,
Heavy Tails Phenomenon, Serial Correlations, Mean Reversions, Random Walks, White Noise Disturbances, Risk Migrations, Contingent Claim Volatility Smiles, Probability of Defaults, Credit Rating Matrix Volatility, Value at Risk, Deviations from Normality and other prices of assets
Model Validation, Cross-Validation and Selection are also topics of interest that fall within the domain of Financial Econometrics. It is a field which is more dependent on Time Series (inter-temporal) Analysis using data spread over a lookback period.
Simulation models such as Monte Carlo Simulations are also an integral part of the Financial Econometrics Curriculum.
Econometrics is Economics, Maths and Statistics combined.

A much broader field which covers all areas of measurement and investigation within the area of Economic Science.
Each Branch of Economics has now developed its own Econometric Methods and Applications, which adds to the literature review.
However, lines between Econometrics and Data Sciences are now getting blurred.
Most of the Econometricians are also appreciating Data Science Mining Methods, which previously was unheard of in the world of economics.
Machine Learning will be the next step forward to integrate the world of economics with the universe of software programming and Robotic AI - Artificial intelligence codes, especially in the Banking, Risk Finance and FCC - Financial Crimes Compliance(AML.KYC Analytics) domains.
Quantitative Finance is an admixture of various subjects. It is an application of Quantitative Financial Methods in the fields of Investment Banking, Retail Banking, Corporate Finance, Enterprise and Financial Risk Management, Insurance, Asset Management, Model Development, etc.
Many QF degrees teach both Econometric Methods and Financial Econometrics distinctly. But it also focuses more on the Stochastic processes, and the computing and programming methods executed with special reference to derivative pricing and hedging models.
It is a broad area which now covers four main bodies of knowledge within the much larger skill set of Financial #Economics =>
-#Actuarial Finance Models
-#Insurance Models
-#Risk Finance Models
-#Derivatives and Structured Products Pricing,
-Structuring and #Hedging Models

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More from @SAH16928046

13 Dec
What are the different ways in which banks can reduce and manage different types of risk?
@GARP_Risk @actuarynews @SOActuaries @RiskDotNet
By understanding what risk is in terms of its purported definition?
If you get the definition wrong, you won't understand the technical expression in either theory or practice.
So, get that right first!
#Risk is a two-sided phenomenon, like a coin!

2. The one side of the coin presents an Opportunity!
2.The another side of the coin presents a Threat!

On which side would you like to do betting?
Read 18 tweets
11 Dec
How do I know if #Actuarial Science is meant for me?
@SOActuaries @actuarynews
It is not easy to assess your aptitude in a given subject by only passing high school exams or getting good grades in Math, Statistics and/or Further Maths(Advance Math) at the higher secondary level.
I know many Math geniuses, who entered into Actuarial Science and Risk, but later moved out because they didn't want to restrict themselves & their field of specialization to just Insurance and risk management sectors in the economy.
So, it all depends on whether you would like to work solely within the risk management area and insurance, or you would like to have a more broad-based career.
Read 4 tweets
11 Dec
How do I secure a role in FRM - Financial Risk Management at Fis Financial Institutions?
What would be the starting point for a person interested in risk management?
@GARP_Risk @actuarynews
Do a basic undergraduate or preferably a postgraduate degree in Quantitative Finance/ FE Financial Engineering / Risk management or Actuarial Science.
Even a degree in other highly numerate fields such as Data Science and Machine Learning can help you in different areas of FRM.
Some students, who come from other numerate backgrounds, such as Engineering, Physics, Mathematics, Statistics, or even Computing Sciences with a strong background in Technology or Programming/Coding, can also end up doing well in the FRM Profession.
Read 8 tweets
10 Dec
Our #narratives on theology, nationalism, wars, economics, philosophy, logic, methodology, sociology, history and anthropology, shall determine the amount of #complexity that exists within an #ecosystem, such as a society or something bigger which takes on the mantle of a state.
what sustains an Open Society based on Bourgeoisie Sentiments?

That is what will make us understand the notion of #pertification in a complex, agile, and adaptative ecosystem that consists of living organisms.
the greater the diversity of views, the more complex the national narratives shall become, leading to a greater demand among the intelligentsia to curb liberal thinking and individual freedoms.
Hence, higher complexity shall lead to society and its planners to impose controls!
Read 7 tweets
9 Dec
Is doing a graduate degree in risk management and insurance worth the money? Why?
@GARP_Risk @actuarynews
Depends!
#riskmanagement is a broad area which can offer various lucrative roles, especially in the financial sector.
They are a lot of risk management degrees available in the market.
Which one would you like to study?
And where it is being offered?
If the degree will focus more on Insurance Underwriting Management and related Risk Financing Courses, I won't advise you to do such a qualification.

The scope of such a degree won't go beyond Life and P&C Insurance Firms.
Read 15 tweets
4 Dec
How difficult is to move from wholesale banking credit risk modelling (8 yrs of experience) to operational risk?
@GARP_Risk @actuarynews @actuarialpost @TheActuaryMag @jbhearn
Credit risk modelling as per @BIS_org Guidelines (FIRB and AIRB) is different from OR - Operational Risk Modeling because the methodological concepts, logic and applications have contrasting operating characteristics.
Operational risk models generally require a Compound Poisson, Lognormal, Negative Binomial, Binomial, Weibull or any mixture distribution(for e.g. a bi-modal shaped distribution which represents both severity and frequency of internal and external loss data sample sets)
Read 22 tweets

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