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  • ESMA Appoints New Management Board Member

    Date 28/01/2021

    The European Securities and Markets Authority (ESMA), the EU’s securities markets regulator, has appointed a new member to its Management Board to fill a vacancy following the departure of a member of the Board of Supervisors.

  • UK And Switzerland To Deepen Cooperation On Financial Services

    Date 28/01/2021

    Plans to move forward to the next stage of talks between the UK and Switzerland on an agreement on financial services were yesterday agreed between the Chancellor Rishi Sunak and Federal Councillor Ueli Maurer.

  • ESMA Updates SFTR Q&A’s

    Date 28/01/2021

    The European Securities and Markets Authority (ESMA), the EU’s securities markets regulator, has today updated its Questions and Answers related to reporting under the Securities Financing Transactions Regulation (SFTR).

  • The ‘Gamification’ Of Wall Street?

    Date 28/01/2021

    When college kids start enthusiastically discussing short interest activity in a particular stock, maybe there has been a fundamental shift in market behavior? Rather akin to one of the game ploys sold within its outlets, gamers, enabled by social media platforms and game-like brokerage technology, appear to have wrought havoc on one of the biggest short plays established by hedge funds, Gamestop (GME). Seemingly urged on by the CEO of one of the largest targets of the short side, Elon Musk, at first sight it would appear to be a classic case of a short squeeze causing hedge funds to buy back their shares at a loss because of lack of inventory to establish more short positions. However, is it as simple as this?

  • BIS: What 31 Provinces Reveal About Growth In China

    Date 28/01/2021

    Summary

    Focus

    Chinese growth has been the main engine of the global economy for the past two decades. However, after the government announced in 2012 that it aimed to double real GDP by 2020, the country's aggregate growth statistics have been disappointingly flat and econometric analyses have been increasingly difficult to conduct. In this paper, instead of using aggregate growth statistics, we exploit a Chinese macroeconomic data set at the provincial level for 1999–2019 and take advantage of its larger statistical variation.

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