A recent post "Fasten your seat belt for stocks: October is almost here" on MarketWatch, repeated by Morningstar and shared in my social networks may make an illusion that it is likely to expect high(est) volatility in October. A little bit more detailed statistical analysis shows that such expectation is superficial.
A more general (and very old) lesson from this case: the statistical analysis is much more than a primitive consideration of the mean values in groups. And of course: don't trust provoking titles. Continue reading "The Highest Volatility in October? Don’t trust a Superficial Statistics!"
On the fateful Wednesday of November 1st, 2017 Yahoo decided to stop their – until then – free service of delivering real time market data as a text stream through a special URL. For hundreds of businesses and individuals who had relied for years on Yahoo's benevolent free service, this single action meant only one thing: Instant death! Continue reading "Yahoo Finance Live Feeds in Excel after their API Discontinuation in November 2017"
Whereas the opinions on the usefulness of technical analysis are highly controversial, it is generally agreed that the fundamental analysis does make sense. Value investing, e.g. the choice of companies with low p/e and p/b coefficients but high RoE and EBIT-Margin is not an uncommon approach. However, the data quality and creative data interpretation are critical. Otherwise one yields yet another GiGo: Garbage in, Garbage out! Continue reading "Your Fundamental Analysis is Only as Good as Your Data are: The Example of NWL"
In diesem Folge-Beitrag betrachten wir, was Du – sowohl als Bürger als auch als Einzelperson – gegen die Entwertung der Betriebsrenten machen kannst. Continue reading "Betriebstrenten sind in Gefahr – Teil II: was tun?"
Michael Shackleford, a who has made a career of analyzing casino games, designed Australian Reels Slot Machine in 2009. In modeling the casino's risk of ruin he (blindly) relied on the normal distribution. We show that this drastically undervalues the tail risk. Continue reading "A Fairy Tail or The Magic of Extreme Casino Wins"
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"
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"
Market were really turbulent during the last weeks. We committed a lot of trades with Elle and did some important calculations of our trading costs. Continue reading "JuniorDepot7c – Lots of Actions and Calculations"
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"
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!"