Timing Success Explained

Can technical trading systems outsmart their benchmark? In our analysis we take a look on what drives trading performance of SMA rules. The working paper is pending but our results have been presented on many conferences, e.g. EURO 2015 in Glasgow, MFS Annual Meetings 2016 in Lemesos and Stockholm, World Finance Conference 2016 in New York, and Quant 2017 in Venice.

Bank Regulation — One Size Does Not Fit All

 

Abstract

Bank business models show diverse risk characteristics, but these differences are not sufficiently considered in Pillar 1 of the regulatory framework. Even if the business model is analyzed within the European SREP, global Pillar 2 approaches differ and could lead to competitive disadvantages. Using the framework of Miles et al. (2012), we examine a dataset of 115 European banks which is split into retail, wholesale, and trading banks. We show that shifts in funding structure affect business models differently. Consequently, a “one size” approach in Pillar 1 for the regulation of banks does not fit all.

Citation

David Großmann & Peter Scholz (2017): Bank Regulation — One Size Does Not Fit All. Journal of Applied Finance & Banking (forthcoming).

HSBA Study Trip 2017 – Hong Kong

 Photo by Base64 (Own work) [CC BY-SA 3.0], via Wikimedia Commons

In cooperation with my Ph.D. student Sinan Tıraş  I plan to travel to Hong Kong in October 2017 – if you elect this destination.

Update Feb 15th, 2017: The trip is booked, so we are happy to travel to Hong Kong with you! A few spots are still available

Since Sinan has lived in Hong Kong, he has written the following  study trip description: Weiterlesen

World Finance Conference 2017: To Advice, or Not to Advice — How Robo-Advisors Evaluate the Risk Preferences of Private Investors

Photo by trolvag [CC BY-SA 3.0], via Wikimedia Commons

From July 26th until 28th, the World Finance Conference will take place at Cagliari University in Sardinia, Italy. I am invited to present the findings of a joint work with Michael Tertilt, an alumnus of HSBA’s MBA program. I am really looking forward to meet and greet!

Abstract

Robo-advisors promise efficient, rational, and transparent investment advisory. We analyze how robo-advisors ascertain their user’s risk tolerance and which equity exposure is derived from the individual risk profile. Our findings indicate significant differences in the quality of offered investment advice. On average, robo-advisors ask relatively few questions in their user’s risk profile assessment, and it is particularly surprising that some of the questions seem not to have any impact on the risk categorization. Moreover, the recommended equity exposure is relatively conservative.

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Droht den Banken die feindliche Übernahme durch FinTechs?

Abstract

FinTechs traten in jüngerer Vergangenheit häufig mit dem Ziel auf, den Bankensektor zu revolutionieren. Disruptives Potenzial dürfte in Deutschland aber nur selten entstehen. Die Neue Institutionenökonomik liefert Hinweise, in welchen Geschäftsbereichen FinTechs der Wettbewerb leichter fallen dürfte und in welchen Marktsegmenten es besonders schwierig werden könnte. Gelingt es den Start-ups nicht, Kundenvertrauen zu erlangen und echten Mehrwert zu bieten, dann sind Kooperationen mit Banken vielversprechender als Alleingänge.

FinTechs aim to revolutionize the traditional banking sector. However, it is unlikely that they will develop large disruptive potential in Germany. The New Institutional Economics helps to predict in which banking divisions FinTechs are more likely to succeed. If the start-ups are unable to build up customer confidence and to generate real added value, then it seems to be more promising to cooperate with banks than to challenge them.

Citation

Peter Scholz (2017): Droht den Banken die feindliche Übernahme durch FinTechs? Corporate Finance Nr. 01-02, S. 3-7.

Link to Article

To Advice, or Not to Advice — How Robo-Advisors Evaluate the Risk Preferences of Private Investors

Zusammen mit Michael Tertilt, einem Alumnus des MBA Corporate Management an der HSBA, arbeite ich an einem Paper zum Thema Robo-Advice.

Abstract

Robo-advisors promise efficient, rational, and transparent investment advisory. We analyze how robo-advisors ascertain their user’s risk tolerance and which equity exposure is derived from the individual risk profile. Our findings indicate significant differences in the quality of offered investment advice. On average, robo-advisors ask relatively few questions in their user’s risk profile assessment, and it is particularly surprising that some of the questions seem not to have any impact on the risk categorization. Moreover, the recommended equity exposure is relatively conservative.