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Our economic framework suggests that the exchange rate of virtual currency is determined by three components. First, the current value of transactions in virtual currency which absorb part of the exchange rate risk. Second, the decisions and expectations of forward-looking investors to buy virtual currency (thereby effectively regulating its supply). Third, the elements that jointly drive future consumer adoption and merchant acceptance of virtual currency. The model predicts that, as virtual currency becomes more established, the exchange rate will become less sensitive to the impact of shocks to speculators' beliefs. This undermines the notion that excessive exchange rate volatility will prohibit widespread use of virtual currency.JEL codes: E42, E51, F31, G1

In this paper, we decompose banks' systemic risk into two dimensions: the risk of a bank ("bank tail risk") and the link of the bank to the system in financial distress ("systemic linkage"). Based on extreme value theory, we estimate a systemic risk measure that can be decomposed into two subcomponents reflecting these dimensions. Empirically, we assess the relationships of bank business models to the two dimensions of systemic risk. The observed differences in these relationships partly explain why micro-and macroprudential perspectives sometimes have different implications for banking regulation.

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. ii Terms of use: Documents in EconStor may AbstractThis paper develops an economic framework to analyze the exchange rate of virtual currency. Three components are important: first, the current use of virtual currency to make payments; second, the decision of forward-looking investors to buy virtual currency (thereby effectively regulating its supply); and third, the elements that jointly drive future consumer adoption and merchant acceptance of virtual currency. The model predicts that, as virtual currency becomes more established, the exchange rate will become less sensitive to the impact of shocks to speculators' beliefs. This undermines the notion that excessive exchange rate volatility will prohibit widespread use of virtual currency. Bank topics: Asset pricing; E-money; Exchange rates JEL codes: E42, E51, F31, G1 RésuméNous construisons un modèle d'analyse pour cerner les facteurs qui influent sur le taux de change des monnaies virtuelles. Trois éléments importent : tout d'abord, l'utilisation actuelle d'une monnaie virtuelle comme moyen de paiement; ensuite, la décision d'investisseurs prospectifs d'acheter de la monnaie virtuelle (et de contrôler ainsi l'offre de ce type de monnaie); enfin, les facteurs qui détermineront ensemble l'adoption d'une monnaie virtuelle par les consommateurs et son acceptation par les commerçants. Selon les prévisions du modèle, lorsqu'une monnaie virtuelle devient plus établie, son taux de change devient moins sensible aux répercussions des changements non anticipés de croyance des spéculateurs. Ce résultat va à l'encontre de l'idée voulant que la très forte volatilité de leur taux de change empêchera la large diffusion des monnaies virtuelles. Sujets : Évaluation des actifs; Monnaie électronique; Taux de change Codes JEL : E42, E51, F31, G1 Non-Technical SummaryThis paper develops a theoretical framework to analyze the economic factors affecting the exchange rate for virtual currency. Virtual currencies, such as Bitcoin, represent both the emergence of a new form of currency and a new payment technology to purchase goods and services. These currencies may move outside the scope of current financial institutions, as they allow distant payments to be made directly between consumers and merchants without the use of any financial intermediaries. Moreover, their supply is not necessarily controlled by central banks, and speculative motives are widely believed to be an important factor for the value of virtual currencies.Sp...

We test for the presence of a systematic tail risk premium in the cross section of expected returns by applying a measure of the sensitivity of assets to extreme market downturns, the tail beta. Empirically, historical tail betas help predict the future performance of stocks in extreme market downturns. During a market crash, stocks with historically high tail betas suffer losses that are approximately 2 to 3 times larger than their low-tail-beta counterparts. However, we find no evidence of a premium associated with tail betas. The theoretically additive and empirically persistent tail betas can help assess portfolio tail risks.

Initial coin offerings (ICOs) are a new mode of financing start-ups that saw an explosion in popularity in 2017 but declined in popularity in the second half of 2018 as regulatory pressure, instances of fraud and reports of poor performance began to undermine their reputation. We examine whether ICOs are a passing fad or a worthwhile form of financing with beneficial economic properties. We do so by examining how financing a start-up through an ICO changes the incentives of an entrepreneur relative to debt and venture capital financing. Depending on market characteristics, an ICO can result in a better or worse alignment of the interests of the entrepreneur and the investors compared with conventional modes of financing. Notably, an ICO can be the only form of financing that induces optimal effort and hence maximizes the net present value of the start-up, and there are projects that should not take place at all unless they can be financed through an ICO.