Financial Markets and Trading
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Financial Markets and Trading
What's moving the markets? Important trends, stories and tools for investors and traders.
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JPMorgan's complete guide to everything happening in the markets

JPMorgan's complete guide to everything happening in the markets | Financial Markets and Trading | Scoop.it
JPMorgan provides a guide to markets in the first quarter of 2017.
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Betting on the Blind Side

Betting on the Blind Side | Financial Markets and Trading | Scoop.it
Back in 2004, when Wall Street was in full subprime-craze mode, a reclusive stock picker named Michael Burry read the fine print—and made a fortune. In an excerpt from his new book, Michael Lewis explains why Burry saw what no one else did.
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 People with Asperger’s couldn’t control what they were interested in. It was a stroke of luck that his special interest was financial markets and not, say, collecting lawn-mower catalogues. When he thought of it that way, he realized that complex modern financial markets were as good as designed to reward a person with Asperger’s who took an interest in them. “Only someone who has Asperger’s would read a subprime-mortgage-bond prospectus,” he said.

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What do BRICS’ exports tell us about their competitiveness?

What do BRICS’ exports tell us about their competitiveness? | Financial Markets and Trading | Scoop.it
That export performance of the BRICS has been disappointing in recent years is well known.
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The Changing Nature of Middle-Class Jobs

The Changing Nature of Middle-Class Jobs | Financial Markets and Trading | Scoop.it
The types of jobs that pay middle-class wages have shifted since 1980. Fewer of these positions are in male-dominated production occupations, while a greater share are in workplaces more open to women.
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Open Source Finance: QuantLib, OpenGamma, Bitcoin

A comparison between the most relevant Open Source Finance projects, with an introduction to the most relevant one: Bitcoin.

Presented at the 2014 QuantLib User Meeting in Düsseldorf
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An Update On EAA and a Volatility Strategy

An Update On EAA and a Volatility Strategy | Financial Markets and Trading | Scoop.it
“Again, before starting this post, I'd like to inform readers that the book Quantitative Trading With R, written by Harry Georgakopoulos, with contributions from myself, is now available for order o...”
Via M. Edward (Ed) Borasky
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Algorithmic Trading and Machine Learning | TechTalks.tv

Algorithmic Trading and Machine Learning | TechTalks.tv | Financial Markets and Trading | Scoop.it
TechTalks.tv is making it super-easy to publish, search and learn from slide-based videos, all in order to share educational content on the web.
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Talk from International Conference on Machine Learning 2014
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A Simple Shiny App for Monitoring Trading Strategies

A Simple Shiny App for Monitoring Trading Strategies | Financial Markets and Trading | Scoop.it
In a previous post I showed how to use  R, Knitr and LaTeX to build a template strategy report. This post goes a step further by making  the analysis  interactive. Besides the interactivity, the Sh...

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Do Google Trend data contain more predictability than price returns?

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Using non-linear machine learning methods and a proper backtest procedure, we critically examine the claim that Google Trends can predict future price returns. We first review the many potential biases that may influence backtests with this kind of data positively, the choice of keywords being by far the greatest culprit. We then argue that the real question is whether such data contain more predictability than price returns themselves: our backtest yields a performance of about 17bps per week which only weakly depends on the kind of data on which predictors are based, i.e. either past price returns or Google Trends data, or both.

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Warren Buffett: These were my biggest early mistakes

Warren Buffett: These were my biggest early mistakes | Financial Markets and Trading | Scoop.it
Happy Memorial Day Weekend! Today I thought we'd spend some time with one of investing's greatest minds at a critical point in history.  The below is excerp
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Inside a Moneymaking Machine Like No Other

Inside a Moneymaking Machine Like No Other | Financial Markets and Trading | Scoop.it
The Medallion Fund, an employees-only offering for the quants at Renaissance Technologies, is the blackest box in all of finance.
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Robert Shiller on the Economics of Deception

Nobel economist Robert Shiller reveals how manipulation and deception are integral to how markets function – they are designed to systematically exploit our ...
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Maybe This Global Slowdown Is Different

Maybe This Global Slowdown Is Different | Financial Markets and Trading | Scoop.it
Slower population growth and consumption point to a major shift.
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How the Recession Reshaped the Economy, in 255 Charts

How the Recession Reshaped the Economy, in 255 Charts | Financial Markets and Trading | Scoop.it
Five years since the end of the Great Recession, the private sector has finally regained the nine million jobs it lost. But not all industries recovered equally.
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A 3-D View of a Chart That Predicts The Economic Future: The Yield Curve

A 3-D View of a Chart That Predicts The Economic Future: The Yield Curve | Financial Markets and Trading | Scoop.it
The current flatness of the curve shows investors expect mediocre growth.
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An Evening With Ed Seykota - Alpha Capture

An Evening With Ed Seykota - Alpha Capture | Financial Markets and Trading | Scoop.it
Last week I travelled to Seattle and had the great honor of meeting Ed Seykota and watching him give a presentation to the Puget Sound chapter of the Market Technicians Association. Ed is without doubt one of the most renowned trend followers in market history, and came to prominence for many through arguably the most … Continue reading »
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Two centuries of trend following


Via M. Edward (Ed) Borasky
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M. Edward (Ed) Borasky's curator insight, April 19, 2014 2:10 PM
"We call this a fictitious P&L since no attempt is made to model any realistic implementation costs of the strategy." When you include implementation costs, trend following becomes a mechanism for transferring wealth from small traders to large ones.
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Informed Options Trading prior to M&A Announcements: Insider Trading?


Via M. Edward (Ed) Borasky
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Tristan Lamonica's curator insight, September 22, 2014 4:52 PM

Stock trading during mergers and acquisitions can be tricky and suspicious. Insiders Trading is also very relevant in the crypto-currency world due to the lack of regulation. I think I found my next article to read...

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Quantifying Wikipedia Usage Patterns Before Stock Market Moves : Scientific Reports : Nature Publishing Group

Quantifying Wikipedia Usage Patterns Before Stock Market Moves : Scientific Reports : Nature Publishing Group | Financial Markets and Trading | Scoop.it
Financial crises result from a catastrophic combination of actions. Vast stock market datasets offer us a window into some of the actions that have led to these crises. Here, we investigate whether data generated through Internet usage contain traces of attempts to gather information before trading decisions were taken. We present evidence in line with the intriguing suggestion that data on changes in how often financially related Wikipedia pages were viewed may have contained early signs of stock market moves. Our results suggest that online data may allow us to gain new insight into early information gathering stages of decision making.
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Pseudo-Mathematics and Financial Charlatanism: The Effects of Backtest Overfitting on Out-of-Sample Performance :: SSRN

Pseudo-Mathematics and Financial Charlatanism: The Effects of Backtest Overfitting on Out-of-Sample Performance :: SSRN | Financial Markets and Trading | Scoop.it
We prove that high simulated performance is easily achievable after backtesting a relatively small number of alternative strategy configurations, a practice we
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Quantitative Finance Applications in R - 5: an Introduction to Monte Carlo Simulation

Quantitative Finance Applications in R - 5: an Introduction to Monte Carlo Simulation | Financial Markets and Trading | Scoop.it
by Daniel Hanson Last time, we looked at the four-parameter Generalized Lambda Distribution, as a method of incorporating skew and kurtosis into an estimated distribution of market returns, and capturing the typical fat tails that the normal distribution cannot. Having said that, however, the Normal distribution can be useful in constructing Monte Carlo simulations, and it is still commonly found in applications such as calculating the Value at Risk (VaR) of a portfolio, pricing options, and estimating the liabilities in variable annuity contracts. We will start here with a simple example using R, focusing on a single security. Although perhaps...

Via M. Edward (Ed) Borasky
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