Noncausal Autoregressive Model in Application to Bitcoin ...

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Bitcoin/USD exchange rates are modelled and predicted. The mixed causal-noncausal autoregressive model is shown to better t the data than the traditional purely causal model. A forecasting exercise using the noncausal model is then presented. Chapter three examines the performance of nonlinear forecasts of noncausal processes This paper introduces a noncausal autoregressive process with Cauchy errors in application to the exchange rates of the Bitcoin electronic currency against the US Dollar. The dynamics of the daily Bitcoin/USD exchange rate series displays episodes of local trends, which can be modelled and interpreted as speculative bubbles. The bubbles may result from the speculative component in the on-line ... Some of the latest research comes from , modelling and predicting the Bitcoin/USD exchange rate through the application of a non-causal autoregressive model. Using data from daily closing rates of Bitcoin/USD from February 2013-June 2013, results from the analysis show that the Bitcoin/USD rate “displays episodes of local trends, which can be modelled and interpreted as speculative bubbles ... A noncausal autoregressive process with Cauchy errors in application to the exchange rates of the bitcoin electronic currency introduced in [4]. The dynamics of the daily bitcoin/USD exchange rate ... Since its launch in 2008, Bitcoin becomes one of the most successful and fast-growing alternative currencies. As of 2017, the market capitalization is around $46 billions and arguably expected to continue growing. The Bitcoin to the US dollar exchange rate has been very volatile and fluctuating significantly. Although Bitcoin was designed as a medium of exchange, it is now more as an ...

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