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Putin Investigating 'Cryptorouble' as Way to Avoid Western Sanctions

President Vladimir Putin has reportedly commissioned Russian officials to work on developing a national cryptocurrency dubbed the "cryptorouble."

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Over $900: Ether Starts 2018 at All-Time Price High

The native token of the ethereum platform, ether, hit an all-time high of over $900 this morning.

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ECB's Yves Mersch Calls Bitcoin a 'Major Threat' to Financial Stability

Yves Mersch has said bitcoin could pose a threat to economic stability if financial infrastructure institutions get involved with the cryptocurrency.

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Aim, Fire: Bulletproofs Is a Breakthrough for Privacy on Blockchains

Taking the spotlight from zk-snarks, new privacy tech bulletproofs is garnering significant attention from a handful of blockchain developers.

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Malaysian Minister: No Bitcoin Trading Ban Planned

A Malaysian finance minister has said the government will not ban cryptocurrency trading, though it will remain cautious on the technology.

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South Korea Sets Date for Anonymous Crypto Trading Ban: Report

South Korea will reportedly begin implementing new regulations banning anonymous cryptocurrency exchange accounts on or around Jan. 20.

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Egypt's Religious Leader: Crypto Trading Forbidden Under Islamic Law

Egypt's Islamic religious leader says the cryptocurrency trading is not legal based on the Islamic religious law.

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Nick Saban and the Power of Small Wins

One more blog post about goal setting as the new year begins!  At this time of year, I always find it useful to reconsider Karl Weick's famous article about the power of small wins.   He wrote the...

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A novel improved fuzzy support vector machine based stock price trend...

Application of fuzzy support vector machine in stock price forecast. Support vector machine is a new type of machine learning method proposed in 1990s. It can deal with classification and regression...

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Exploiting Investors Social Network for Stock Prediction in China's Market....

Recent works have shown that social media platforms are able to influence the trends of stock price movements. However, existing works have majorly focused on the U.S. stock market and lacked attention...

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Improving Stock Market Prediction via Heterogeneous Information Fusion....

Traditional stock market prediction approaches commonly utilize the historical price-related data of the stocks to forecast their future trends. As the Web information grows, recently some works try to...

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Optimal Timing to Trade Along a Randomized Brownian Bridge....

This paper studies an optimal trading problem that incorporates the trader's market view on the terminal asset price distribution and uninformative noise embedded in the asset price dynamics. We model...

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Transition probability of Brownian motion in the octant and its application...

We derive a semi-analytic formula for the transition probability of three-dimensional Brownian motion in the positive octant with absorption at the boundaries. Separation of variables in spherical...

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Double continuation regions for American and Swing options with negative...

In this paper we study perpetual American call and put options in an exponential L\'evy model. We consider a negative effective discount rate which arises in a number of financial applications...

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Can higher savings moderate the income inequality?. (arXiv:1801.00253v1...

Societies should be ideally equitable. However, in reality the scenario is very different and the phenomena of socio-economic inequalities have plagued mankind from times immemorial. We now ask a...

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A dynamic network model with persistent links and node-specific latent...

We propose a dynamic network model where two mechanisms control the probability of a link between two nodes: (i) the existence or absence of this link in the past, and (ii) node-specific latent...

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PrivySense: $\underline{Pri}$ce $\underline{V}$olatilit$\underline{y}$ based...

As machine learning ascends the peak of computer science zeitgeist, the usage and experimentation with sentiment analysis using various forms of textual data seems pervasive. The effect is especially...

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A simple mathematical model for unemployment: a case study in Portugal with...

We propose a simple mathematical model for unemployment. Despite its simpleness, we claim that the model is more realistic and useful than recent models available in the literature. A case study with...

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OCC 2017 Total Cleared Contract Volume Up Four Percent, Third Highest Volume...

OCC, the world's largest equity derivatives clearing organization, today announced 2017 volume reached the third highest total cleared contract volume ever with 4,327,576,930 contracts, a four percent...

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MGEX: 2017 Topples Over Previous Calendar Year Record

MGEX, a Designated Contract Market (DCM) and Derivatives Clearing Organization (DCO), has recorded the highest calendar year volume at 2,803,549 contracts. This oversees the previous record of the 2015...

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