Distribution of currency, AUD, USD, exchange rate, commodity currency, volatility of the currency, Bitcoin, international finance
The distribution above conforms to the features of a normal distribution in terms of skewness, kurtosis, and tails. The mean-mode-median of the distribution is at the center. The mean is the arithmetic average of all the scores recorded, mode refers to the fact that the mean appears near the most scores, and the median is the middle score of the distribution when they are arranged in ascending order. There are instances when the frequency assumes the shape of a bell resulting in the bilateral symmetry where the balances on the negative are balanced with those on the positive, the opposite areas are the same, and half of the scores appear above and below the mean (Cousins and Zlicar, 2016, pp. 224-238).
[...] Liquidity, Risk Appetite and Exchange Rate Movements during the Financial Crisis of 2007-2009. SSRN Electronic Journal, pp. 7-9. doi: 10.2139 /ssrn.1427115 Nebesnijs, A. (2012). Price Discovery in the Foreign Exchange Market: The Analysis of Highs and Lows. SSRN Electronic Journal, 56(88), pp. 25- 34. doi: 10.2139 /ssrn.2353534 Simpson, J., and Evans, J. (2004). Commodity exporting countries and exchange rates: Australian evidence. Derivatives Use, Trading & Regulation, pp. 70-84. Yellowitz, A., and Wilson, M. [...]
[...] (2015). Characteristics of Bitcoin users: an analysis of Google search data. Applied Economics Letters, 22(13), pp. 1030-1036. [...]
[...] Evaluating a Simple String Representation for Intra-day Foreign Exchange Prediction. New Frontiers in Mining Complex Patterns, pp. 224-238. doi: 10.1007 /978-3- 319-39315-5_15 Groen, J. J., and Pesenti, P. A. (2010). Commodity Prices, Commodity Currencies, and Global Economic Developments. Commodity Prices and Markets, 12(28), pp. 15-42. doi: 10.7208 /chicago/ Hui, C. H., Genberg, H., and Chung, T. K. (2012). [...]
[...] The mean-mode- median of the distribution is at the center. The mean is the arithmetic average of all the scores recorded, mode refers to the fact that the mean appears near the most scores, and the median is the middle score of the distribution when they are arranged in ascending order. There are instances when the frequency assumes the shape of a bell resulting in the bilateral symmetry where the balances on the negative are balanced with those on the positive, the opposite areas are the same, and half of the scores appear above and below the mean (Cousins and Žličar pp. [...]
[...] The volatility characteristics and return distribution of the currency pairing depict the same results as those of Bitcoins. Bitcoins possess the characteristics of modern currencies in the sense that they give users increased purchasing power and can be used to undertake investment decisions. They exist in the digital form hence facilitating wider use of instruments that can be traded using online platforms. A unique characteristic of Bitcoins is the propensity with which they can be decentralized since they are not controlled by the government (Briere, Oosterlinck, and Szafarz pp. [...]
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