273 research outputs found

    Extreme risk dependence between green bonds and financial markets

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    The current study investigates the extreme risk dependence between green bonds and financial markets by employing the dual approaches of time-varying optimal copula and extreme risk spillover analysis of dynamic conditional Value-at-Risk. We report significant symmetric (asymmetric) tail-dependent copulas in the upper (lower) tails characterizing independent regimes. Green bonds offer sufficient diversification, safe-haven, and hedging opportunities during stable and distressing times to financial markets. The extreme risk spillovers revealed that COVID-19 transformed the spillovers between green bonds and financial markets except Bitcoin. We proposed insightful implications for policymakers, governments, investors, and portfolio managers to relish the findings for their investment avenues.</p

    The effects of central bank digital currencies news on financial markets

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    Based on coverage of over 660m news stories from LexisNexis News \&amp; Business between 2015–2021, we provide two new indices around the growing area of Central Bank Digital Currency (CBDC): the CBDC Uncertainty Index (CBDCUI) and CBDC Attention Index (CBDCAI). We show that both indices spiked during news related to new developments in CBDC and in relation to digital currency news items. We demonstrate that CBDC indices have a significant negative relationship with the volatilities of the MSCI World Banks Index, USEPU, and the FTSE All-World Index, and positive with the volatilities of cryptocurrency markets, foreign exchange markets, bond markets, VIX, and gold. Our results suggest that financial markets are more sensitive to CBDC Uncertainty than CBDC Attention as proxy by these indices. These findings contain useful insights to individual and institutional investors, and can guide policymakers, regulators, and the media on how CBDC evolved as a barometer in the new digital-currency era

    COVID-induced sentiment and the intraday volatility spillovers between energy and other ETFs

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    Did Covid19 induce market turmoil and impact the intraday volatility spillovers between energy and other ETFs? To examine this, we first estimate the realized volatility of ETFs using the 5-minute high-frequency data. Next, we employ time-varying parameter vector autoregressions (TVP-VAR). Finally, we utilize the wavelet coherence measure to test the time-frequency impact of COVID-induced sentiment on the spillovers by employing investors’ psychological and behavioural factors. We find that oil and stock markets are net transmitters while currency, bonds, and silver markets are net receivers. The wavelet analysis embarked significant impact of media coverage and fake news index towards shaping investors’ pessimism for their investments. We proposed useful implications for policymakers, governments, investors, and portfolio managers

    The Financial Economics of White Precious Metals - A Survey

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    This article provides a review of the academic literature on the financial economics of silver, platinum and palladium. The survey covers the findings on a wide variety of topics relation to the White Precious Metals including Market Efficiency, Forecastability, Behavioral Findings, Diversification Benefits, Volatility Drivers, Macroeconomic Determinants, and their relationships with other assets

    The cryptocurrency uncertainty index

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    We develop and make available a new Cryptocurrency Uncertainty Index (UCRY) based on news coverage. Our UCRY Index captures two types of the uncertainty: cryptocurrency price uncertainty (UCRY Price) and cryptocurrency policy uncertainty (UCRY Policy). We show that the constructed index has distinct movements around major events in cryptocurrency space. We suggest that this index captures uncertainty beyond Bitcoin, and can be used for academic, policy, and practice-driven research

    The determinants of IPO withdrawal – Evidence from Europe

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    Why do companies not follow through with an IPO after filing for one? This question is investigated by examining common stock IPOs for the largest countries in Europe. We cover 80% of the Western European IPO market over the 2001–2015 period. We establish that the IPO phenomenon of withdrawal is a common feature of equity markets and identify key characteristics that influence the probability of withdrawal. Findings indicate that venture capital or private equity involvement, the presence of negative news, CEO duality, or the intent to retire debt increase the probability of IPO withdrawal. On the other hand, higher levels of corporate governance or trading volume decrease the pssrobability of IPO withdrawal. We argue that imminent agency conflicts and the lack of appropriate control mechanisms can force a company to withdraw from the IPO
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