Available Master thesis topics
Bitcoin-Altcoin Pair Trading
The thesis should first replicate and update González et al. (2020; González, María de la O., Francisco Jareño, and Frank S. Skinner. "Nonlinear Autoregressive Distributed Lag Approach: An Application on the Connectedness between Bitcoin Returns and the Other Ten Most Relevant Cryptocurrency Returns." Mathematics 8.5 (2020)). A second part of the thesis should be devoted to Bitcoin-Altcoin pair trading analysis, i.e., whether an investor could use lagged Bitcoin returns to forecast Altcoin returns (or vice versa). Please contact Andre Guettler if you are interested.
Can we hedge inflation risk by holding Bitcoin? (reserved)
The thesis should analyze whether Bitcoin (and other major crypto assets) could serve as a natural hedge for inflation risk. Foremost sensitivity of traditional assets such as stocks, bonds, real estate, and gold with respect to interest rate changes should be compared with Bitcoin. Please contact Andre Guettler if you are interested.
How much crypto assets should be in your portfolio?
The thesis should analyze how much crypto asssets should be in your portfolio. Based on Platanakis and Urquhart (2019) and the papers cited in this publication, you should use the Black-Litterman Model to come up with suitable crypto portfolio weights. Please contact Andre Guettler if you are interested.
On-chain analysis (reserved)
The thesis is about on-chain analysis, which is offered by CoinMetrics or Glassnode (see some examples here). To start with, you should first make yourself familiar with the data using from publicly available sources (e.g., a simple example using R given here). In the next step, you should replicate and enhance/modify key on-chain indicators running your own bitcoin node (here you find relevant information). Note: this thesis is offered to crypto enthusiasts with proficient knowledge in (Python) programming and blockchain analysis. Please contact Andre Guettler if you are interested.
The cleansing effect of flash loan attacks
The thesis should investigate flash loans. Besides characterising these type of short-term, uncollateralized loans, the cleansing effect of flash loan attacks should be analyzed, i.e., how vulnerable protokols such as bZX or Harvest Finance have been (see first material here and here; more technical paper). In some way, flash loans facilitate stress testing new protokols and hence can be seen as getting rid of poorly designed DeFi protokols. Please contact Andre Guettler if you are interested.
Applied Technical Analysis Using Python: The Case of Crypto Assets
The thesis should analyze whether there are market inefficiencies that enable profitable trading strategies in crypto assets. Besides the usual backward-looking backtests, the thesis should run a true out-of-sample trading algorithm using Python with paper money (e.g., by running the code in the Coinbase Pro sandbox). See related papers here and here. The thesis requires reasonable knowledge in Python (or at least being willing to dive into this area). Please contact Andre Guettler if you are interested.
Bitcoin Variance Swaps
There are Bitcoin Variance Swaps traded, based on the Bitcoin Volatility Index BVIN. This thesis should examine the variance risk premium and the settlement of these products to assess to what extent they are vulnerable to market manipulation. We recommend this paper and this blog post as starting point. Please contact Tim Baumgartner if you are interested.
Price development of vintage NFTs: The case of Rare Pepe cards
Vintage NFTs such as Rare Pepe (see information here and here) are mostly traded outside of established plattforms such as OpenSea. Hence, it is difficult to follow their price developments. The thesis should gather OTC (see here) and Counterparty (see here) data for such assets, calculate indices, and provide open source code (--> Github) for real time index calculation. Subindices for the various series should be calculated. Filters should be implemented (e.g., by number of minted cards). The indices should be the basis for descriptive statistics such as performance analysis and correlation with traditional (e.g, equity) as well as crypto assets. Please contact Andre Guettler if you are interested.
Peat Swamp Forests: The Forgotten Fix to Climate Change?
This thesis should shed light into a rather forgotten fix to climate change: peat swamp forests. You should gather data on existing swamps, how much carbon dioxide (and other climate relevant gases) are bound in these areas. Where are these swamps located, in particular, how much of these areas are within the EU? How could carbon credit contracts be designed to keep peat swamp forests wet and healthy (relate to REDD+ projects in case of rainforests)? What are potential limits to protect these areas (i.e., is remote sensing a feasible monitoring option)? Please contact Andre Guettler if you are interested.
Asset management and asset pricing:
Cboe VIX Earnings
According to an influential academic study (Griffin and Shams, 2018), the VIX is vulnerable to manipulation. However, Cboe Exchange, being responsible for the product, keeps quiet about the massive criticism. This behaviour might be the case because the VIX is a lucrative product of Cboe Exchange. This thesis should deduce an estimate of the gross profit and/or earnings per share of Cboe Exchange attributable to the VIX. Please contact Tim Baumgartner if you are interested.
Background of Recurring One-Day Event Studies
Extensive literature exists on event studies for longer time periods. In contrast, how to analyze an abnormal effect of - for instance - one particular day in every month is a more advanced problem. This thesis should give an overview of feasible approaches. Please contact Tim Baumgartner if you are interested.
International Volatility Indices and their Settlement Procedures
While the fear-gauge VIX is the most prominent volatility index in the US, there are various other (international) volatility indices worldwide. This thesis should give an overview of these indices, how the index values are calculated and discuss how derivatives upon them are settled on expiration. Please contact Tim Baumgartner if you are interested.
We also supervise replication exercises of published papers in the area of forecasting asset prices. The thesis should replicate a current publication for which there is available data. Replication should be done in R or Python. Please contact Andre Guettler if you are interested.