## Pitfalls of Nelson-Siegel Yield Curve Modeling – Part II – what ML and AI can[not] do

In our previous post on Nelson-Siegel model we have shown some pitfalls of it. In this follow-up we will discuss how to circumvent them and how machine learning and artificial intelligence can[not] help. Continue reading "Pitfalls of Nelson-Siegel Yield Curve Modeling – Part II – what ML and AI can[not] do"

## Pitfalls of Nelson-Siegel Yield Curve Modeling – Part I

The Nelson-Siegel-[Svensson] Model is a common approach to fit a yield curve. Its popularity might be explained with economic interpretability of its parameters but most likely it is because the European Central Bank uses it. However, what may do for ECB will not necessarily work in all cases: the model parameters are sometimes extremely unstable and fail to converge. Continue reading "Pitfalls of Nelson-Siegel Yield Curve Modeling – Part I"

## The Fairest Reward System for a Wealth Manager

In this essay I try to figure out the most fair reward system for a wealth manager. I don't appeal to the notorious utility functions or mathematical optimization models that fail in practice due to the errors of parameter estimation. Rather I rely on best practices and common sense. Continue reading "The Fairest Reward System for a Wealth Manager"

## Investor, get rid of information overload!

Retail investors are overwhelmed with information. Meanwhile the payload of these numerous analytics and market reviews is zero or even negative. Is a passive investment in an index ETF a solution to this problem? Yes, but not necessarily the best one. We provide a short list of S&P 500 stocks with good fundamentals, low volatilities and correlations and nice charts from technical point of view. Continue reading "Investor, get rid of information overload!"

## Visualizing the Fundamental Data on 400 Stocks over 80 Quarters

It is relatively easy to visualize the aggregated statistics over many periods, e.g. by means of the boxplot series. However, it may be challenging if you want to have a simultaneous look at every element for all time periods. We propose to do it by means of an animated 3D-scatterplot. Continue reading "Visualizing the Fundamental Data on 400 Stocks over 80 Quarters"

## 12 Consistentently Profitable Automatic FX Strategies

We consider 12 most popular and/or mostly discussed fully automated forex trading stratagies on myfxbook.com. This case study clearly shows that it is possible to consistently make money by forex trading. Of course it does not mean that it is easy.  Continue reading "12 Consistentently Profitable Automatic FX Strategies"

## Optimal Number of Trades: better less but better

A very important question, which every trader or investor encounters is how many trades to commit or how many stocks to hold in portfolio. Whereas the law of the large numbers readily gives a [naive] answer "the more the better", in practice the answer is often better less but better. Continue reading "Optimal Number of Trades: better less but better"

## Zinseszinswunder in Action: mit 200 DM/mo. in DAX seit 1959 wärst Du Millionär

Wer in DAX seit 1959 jeden Monat 200 DM bzw. €100 angelegt hätte, wäre nun Millionär. Zwar es in diesem Fall auch viel "wenn das Wörtchen wenn nicht wär" gibt, ist dieser Fall nicht unrealistisch und bestimmt betrachtenswert. Denn selbst wenn man den Zeitvorrat nicht von 60 sondern "lediglich" von 30 Jahren hat und die Rendite "nur" von 6% p.a. erreicht, wird man zumindest die Altersarmut vermeiden! Continue reading "Zinseszinswunder in Action: mit 200 DM/mo. in DAX seit 1959 wärst Du Millionär"

## Nordex – Market Reaction to Annual Report and SolarWorld Bankruptcy

Nordex SE is one of the leading producers of the wind turbines. Its stock has a long difficult story, being both a tenbagger and a miserable loser. In either case it offers a lot of interesting case studies, one of which is the reaction to the annual report and the bankruptcy of a peer SolarWorld.
Continue reading "Nordex – Market Reaction to Annual Report and SolarWorld Bankruptcy"