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. The working papers are produced by The University of Manchester -Manchester Business School and are to be circulated for discussion purposes only. Their contents should be considered to be preliminary. The papers are expected to be published in due course, in a revised form and should not be quoted without the authors' permission. Terms of use: Documents inElectronic copy available at: http://ssrn.com/abstract=2182097

No abstract

We introduce an event based framework of directional changes and overshoots to map continuous financial data into the so-called Intrinsic Network -a state based discretisation of intrinsically dissected time series. Defining a method for state contraction of Intrinsic Network, we show that it has a consistent hierarchical structure that allows for multi-scale analysis of financial data. We define an information theoretic measurement termed Liquidity that characterises the unlikeliness of price trajectories and argue that the new metric has the ability to detect and predict stress in financial markets. We show empirical examples within the Foreign Exchange market where the new measure not only quantifies liquidity but also acts as an early warning signal.

We propose a novel intraday instantaneous volatility measure which utilises sequences of drawdowns and drawups non-equidistantly spaced in physical time as indicators of high-frequency activity of financial markets. The sequences are re-expressed in terms of directional-change intrinsic time which ticks only when the price curve changes the direction of its trend by a given relative value. We employ the proposed measure to uncover weekly volatility seasonality patterns of three Forex and one Bitcoin exchange rates, as well as a stock market index. We demonstrate the long memory of instantaneous volatility computed in directional-change intrinsic time. The provided volatility estimation method can be adapted as a universal multiscale risk-management tool independent of the discreteness and the type of analysed high-frequency data.

Purpose This paper aims to explain the architecture and design choices of the exchange. Lykke is a FinTech company based in Zurich that has launched the global marketplace for all asset classes and instruments digitized on the blockchain. The authors discuss how the exchange will evolve over time. They explore the macroeconomic benefits of the new blockchain technology. The Lykke exchange is compatible with any type of public blockchain. Design/methodology/approach The authors present the architecture of an exchange for colored coins. By colored coins, they mean issuer-backed securities on the Bitcoin blockchain. Orders are collected and matched by a semi-trusted exchange. Matched orders are settled on the Bitcoin blockchain, where each successful trade between parties appears as a set atomic-colored coins swap transactions. Unfilled and expired orders are discarded. The exchange does not take possession of the traded coins, but needs to be trusted to match trades correctly. Findings Lykke has launched the exchange initially for the main currencies, cryptocurrencies and Lykke coin (entitlement to the shares of Lykke company). Perspective asset classes include futures and options on digital assets, crowd-funded loans for retail and private equity financing for small and medium-sized enterprises, contracts for difference, zero coupon bonds and other fixed income and natural capital bonds. Originality/value Lykke exchange and all its tools and services are open source; the transparency of technology is ideal for research. The paper provides a high-level overview of the exchange and concludes with a research agenda.