Leveraged ETFs provide a convenient mechanism to dynamically change portfolio exposure and can be successfully used to construct robust portfolios that perform well during equity market drops. We start with a classical 60 percent Bonds/ 40 percent Stocks portfolio with monthly rebalancing that...

We discuss performance of some known market anomalies like equal-weighted index, low volatility stock index, factor anomalies of Andrea Frazzini, Ronen Israel and Tobias J. Moskowitz. We suggest the utilization of these anomalies through dynamic risk allocation in portfolios based on these...

Blockchain or, more generally, distributed ledger technology allows to create a decentralized digital ledger of transactions and to share it among a network of computers. In this paper, we argue that the implementation of this technology in financial markets offers investors new options for...

Cryptocurrencies have grown exponentially and gained increasing attention in recent years, and while it's true that it's secure by design, “Security” remains the cornerstone of any and all cryptoassets.To benchmark the global cryptocurrencies market from a security perspective, track current...

Leveraged ETFs provide a convenient mechanism to dynamically change portfolio exposure. A classical portfolio insurance strategy of Black-Jones-Perold can be easily implemented with leveraged ETFs. More complex dynamic portfolio strategies that also can be implemented using leveraged ETFs. We...

Merchant fees and reward programs generate an implicit monetary transfer to credit card users from non-card (or "cash") users because merchants generally do not set differential prices for card users to recoup the costs of fees and rewards. On average, each cash-using household pays $149 to...

Blockchain technology has a significant impact in multiple fields. Bitcoin was the first of its applications to rise to widespread attention. Due to its source code being publicly available (open source), it was followed quickly by a number of other cryptocurrencies as developers caught on to...

In this paper we adopt a principal components analysis (PCA) to reduce the dimensionality of the term structure and employ autoregressive models (AR) to forecast principal components which, in turn, are used to forecast swap rates. Arguing in favor of structural variation, we propose data...

The paper proposes a data driven adaptive model selection strategy. The selection crite- rion measures economic exante forecasting content by means of trading implied cash flows. Empirical evidence suggests that the proposed strategy is neither exposed to selection bias nor to the risk of...