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Experimental evidence has consistently confirmed the ability of uninformed traders, even novices, to infer information from the trading process. After contrasting brain activation in subjects watching markets with and without insiders, we hypothesize that ...
We analyze the implications of dynamic flows on a mutual fund's portfolio decisions. In our model, myopic investors dynamically allocate capital between a riskless asset and an actively managed fund which charges fraction-of-fund fees. The presence of dyna ...
The last three decades have seen computers invading our society: computers are now present at work to improve productivity and at home to enlarge the scope of our hobbies and to communicate. Furthermore, computers have been involved in many critical system ...
In a dynamic investment situation, the right timing of portfolio revisions and adjustments is essential to sustain long-term growth. A high rebalancing frequency reduces the portfolio performance in the presence of transaction costs, whereas a low rebalanc ...
This paper presents, for the first time, experimental evidence on resonant-body Fin-FETs (RB-FinFET) with two independent lateral gates, operated from weak to strong inversion, which enables unique trade-off between power consumption and gain. Resonance fr ...
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We study trading in option strategies in the FTSE-100 index market. Trades in option strategies represent around 37% of the total number of trades and over 75% of the total trading volume in our sample. We find some evidence that order flow in volatility-s ...
We design and deploy a trading strategy that mirrors the Exchange Traded Fund (ETF) arbitrage technique for sector trading. Artificial Neural Networks (ANNs) are used to capture pricing relationships within a sector using intra-day trade data. The fair pric ...
Airlines schedules are built such as to maximize expected profit. Such schedules turn out to be more sensitive to delays and are hence unstable. The trend has thus evolved towards robust schedules, trading off between sensitivity with respect to disruption ...
Recent neurophysiological studies reveal that risk and reward are separately encoded in the human brain, and that the encodings display different timing patterns. Therefore, we hypothesized that sensitivity of trading decisions to risk and reward parameter ...
The large-scale organization of the world economies is exhibiting increasingly levels of local heterogeneity and global interdependency. Understanding the relation between local and global features calls for analytical tools able to uncover the global emer ...
