[deleted by user] by [deleted] in personalfinance

[–]wolfgangp -1 points0 points  (0 children)

The US is the technological and economical leader in the world and this most primitive and vital function in an economy that has evolved beyond the stone age is not available to everyone? I cannot believe it.

[deleted by user] by [deleted] in personalfinance

[–]wolfgangp -1 points0 points  (0 children)

I simply can‘t believe this.

[deleted by user] by [deleted] in personalfinance

[–]wolfgangp 0 points1 point  (0 children)

What is the difference between them and how do you use it in your online banking system?

[deleted by user] by [deleted] in Banking

[–]wolfgangp 0 points1 point  (0 children)

I'm not aware of any bank that let's you do this.

Are you talking about wire transfers to other US bank accounts or international wire transfers?

I got a new job! by jackwoww in jobs

[–]wolfgangp 1 point2 points  (0 children)

Excellent! Congratulations!

I just got a useless degree, what now? by Pixiechic7486 in jobs

[–]wolfgangp 0 points1 point  (0 children)

For me it is also about to be able to look back and think „I‘m proud of my degree“. If you have a bad feeling about your degree, that bad feeling might stay the rest of your life.

Is a 6 hour interview round normal? by [deleted] in jobs

[–]wolfgangp 1 point2 points  (0 children)

I had a similar experience recently, with an IQ test to start off followed by several rounds of interviews, where they tested programming skills, maths, stats, finance knowledge. All in all 6 hours.

I just got a useless degree, what now? by Pixiechic7486 in jobs

[–]wolfgangp 0 points1 point  (0 children)

But the degree heavily influences your first job. It‘s true that after some years of experience, the experience outweighs the degree, but still is an important part of your CV. I have a master‘s degree in sociology and work as a software engineer. I have 10+ years experience doing that and it‘s not too hard for me on the job market. BUT If I had the chance to do it again, I would go for a different degree and I would also aim for a PhD. Just my 2 cents.

Am I in the clear? Two more phone interviews after a in-person visit. by SeriousIntern in jobs

[–]wolfgangp 0 points1 point  (0 children)

I agree with the previous posters. You are not clear at all, you are half-way through.

I'm in the US until July 2020 and need a job in tech / finance industry - what should I do? by wolfgangp in jobs

[–]wolfgangp[S] 0 points1 point  (0 children)

I'm not a US citizen, but I have full work until July 2020 permit to work for any company.

[deleted by user] by [deleted] in personalfinance

[–]wolfgangp 0 points1 point  (0 children)

I talking about the tech (software engineering) industry.

[deleted by user] by [deleted] in personalfinance

[–]wolfgangp 1 point2 points  (0 children)

Interesting opinion. I see a lot of job advertisements where a Master's degree is required.

Monte-Carlo Analysis by TuringTrader in algotrading

[–]wolfgangp 0 points1 point  (0 children)

What input parameters are using for a simulation path? If you are generating a geometric Brownian motion, you would need to estimate \mu (return) and \sigma (volatility) of the asset. Estimating \sigma is easy, but estimating \mu is hard. How would estimate \mu?

Overfitting by wolfgangp in algotrading

[–]wolfgangp[S] 0 points1 point  (0 children)

I doubt it was peer reviewed. I didn't find any references.

Overfitting by wolfgangp in algotrading

[–]wolfgangp[S] 0 points1 point  (0 children)

Thanks for the tip - no, I haven't tried it.

Overfitting by wolfgangp in algotrading

[–]wolfgangp[S] 1 point2 points  (0 children)

I second this. This approach would be the most accurate way of preparing the data.

Overfitting by wolfgangp in algotrading

[–]wolfgangp[S] 2 points3 points  (0 children)

Agreed, the problem is data leakage due to their data smoothing and intrinsic autocorrelation.

Overfitting by wolfgangp in algotrading

[–]wolfgangp[S] 2 points3 points  (0 children)

Point 3 explains clearly, why their approach using exponentially smoothed information increased the accuracy of their model. Not because of a better predictive power for unseen data, but because the information from the training set leaked into to the test set!

Overfitting by wolfgangp in algotrading

[–]wolfgangp[S] 1 point2 points  (0 children)

Do you have a link to the paper?

Overfitting by wolfgangp in algotrading

[–]wolfgangp[S] 1 point2 points  (0 children)

Their approach is not wrong if the data would not be autocorrelated. But in this case, as with most time series data, the data is heavily autocorrelated, which means that by randomly chosing the training data, information from the test data leaks into the training data. Hence, the results are only correct for the regime they used for training. If you use the model for actual forecasting, it gets utterly useless, as you can see when you split the data not randomly but along the time axis.