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Toolkit For The Evaluation Of Crypto Tax Risks (Outline), Vincent Ooi
Toolkit For The Evaluation Of Crypto Tax Risks (Outline), Vincent Ooi
Research Collection Yong Pung How School Of Law
This Toolkit seeks to provide a practical, structured framework for the identification and assessment of crypto tax risks that can be used by tax administrations. It has three main parts. Firstly, an introduction to the Toolkit and how it should be used. Secondly, a series of questionnaires to complete. Thirdly, a commentary to provide additional context and details on each part of the Toolkit and its application. As tax administrations go through the questionnaires, they can rely on the Commentary to complement their existing knowledge and expertise to accurately identify the crypto tax risks facing their domestic tax systems.
Navigating Uncertainty: The Role Of Gold, Silver, Oil, Cryptocurrency, And Esg Indices In The Mena Region, Rahaf Zakaria Sakr
Navigating Uncertainty: The Role Of Gold, Silver, Oil, Cryptocurrency, And Esg Indices In The Mena Region, Rahaf Zakaria Sakr
Theses and Dissertations
This study examines the effectiveness of various financial instruments as hedges and safe havens during different market conditions in the MENA region. It compares traditional safe-haven investments ( gold, silver, and oil) and non-traditional safe-havens (cryptocurrencies and ESG stocks) to determine which investments function better as hedges and safe havens during different market conditions. The data covers eight years, starting in 2015 and ending in early 2023. DCC GARCH is utilized to examine time variation in conditional correlations. This study finds that Gold, Silver, and cryptocurrency can be considered strong hedges to the MENA market on average and weak safe …
Hedging Cryptos With Bitcoin Futures, Francis Liu, Natalie Packham, Meng-Jou Lu, Wolfgang Karl Haerdle
Hedging Cryptos With Bitcoin Futures, Francis Liu, Natalie Packham, Meng-Jou Lu, Wolfgang Karl Haerdle
Sim Kee Boon Institute for Financial Economics
The introduction of derivatives on Bitcoin enables investors to hedge risk exposures in cryptocurrencies. Because of volatility swings and jumps in cryptocurrency prices, the traditional variance-based approach to obtain hedge ratios may not be suitable for hedgers. In this work, we consider two extensions of the traditional approach: first, different dependence structures are modelled by different copulae, such as the Gaussian, Student-t, Normal Inverse Gaussian and Archimedean copulae; second, different risk measures, such as value-at-risk, expected shortfall and spectral risk measures are employed to find the optimal hedge ratio. Extensive out-of-sample tests using the data from the time …