Tom and Gerry 2 – a perfect case study for peer trading

Tom [Tailor] and Gerry [Weber] are two German fashion boutiques (both are small caps). On January 7, 2016 I wrote a post "Tom And Gerry - Turnaround By Two German Fashion SmallCaps". In this post I correctly predicted the growth of Gerry Weber, based on the previous growth of Tom Tailor. Now one could have predicted the fall of Tom Tailor based on the previous fall of Gerry Weber. A perfect pair for peer trading isn' it?!

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JuniorDepot9 – Buying Silver ETC again

Elle, a 7-year old girl, confronted a hard choice this time: both German stocks and precious metals were relatively cheap. Finally, she decided to increase the position in silver, although before she has already bought a silver ETC a little bit prematurely. Continue reading "JuniorDepot9 – Buying Silver ETC again"

Your Fundamental Analysis is Only as Good as Your Data are: The Example of NWL

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"

What You Have Missed by Not Buying Our Stocklist for just $5 – Part II: Statistical significance

Two months ago we suggested you to buy a list of stocks, carefully selected from SP500 index on both fundamental and technical criteria. One month later we have published the results: though our stocklist has clearly beaten SPY there were no evidences of formal statistical significance. Now there are. Moreover, you have an opportunity to buy our next stockpicking report just for $10. Continue reading "What You Have Missed by Not Buying Our Stocklist for just $5 – Part II: Statistical significance"

A Fairy Tail or The Magic of Extreme Casino Wins

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"

JuniorDepot8 – Buying Silver ETC and DAX ETF

Elle, a 7-year old girl, continues to grow her wealth. Recently she has bought a silver ETC and a DAX ETF (the former a little bit prematurely, the latter pretty optimally). Continue reading "JuniorDepot8 – Buying Silver ETC and DAX ETF"

Lukas Spang ist weder Warren Buffett noch ein Glückspilz, sondern…

Vor einem Jahr haben wir eine ausführliche Analyse vom Lukas Spangs Wikifolio "Chancen suchen und finden" veröffentlicht und vor Stagnationsrisiko vorgewarnt. Unsere Prognose stellte sich als richtig heraus!

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GEZ Urteil und seine wirtschaftliche Folgen für DICH, Mitbürger

Gestern (am 18.07.2018) hat das Verfassungsgericht entschieden, dass GEZ Zwangsgebühr im Großen und Ganzen mit dem Grundgesetz vereinbar ist. Lediglich wurde die Zahlungsplicht für Zweitwohnungen gekippt. Zwar kann €17,50/mo. noch erträglich scheinen, zeigen wir, dass dadurch ein ganzes Vermögen - z.B. die auskömmliche Altersvorsorge – geklaut wird.
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PropellerAds delivers Bullshit and Malware – avoid it!

By letYourMoneyGrow.com we also want to grow our own money, thus we tried to put Propeller Ads on our pages. But we pursue a win-win collaboration with our readers and never grow our money at their costs. Had Propeller Ads "merely" delivered a bullshit, we would just silently abandon it. But it also supplies malware, thus we feel obliged to apologize to our readers. Fortunately, there is virtually no danger since we promptly removed all PropellerAds content from our website.
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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"