How random forests can improve macro trading signals

How to build a macro trading strategy (with open-source Python)

Using principal components to construct macro trading signals

How macro-quantamental trading signals will transform asset management

Macrosynergy Research

Macrosynergy Research is dedicated to educating the investment and academic communities on the importance of constructing and employing macro quantamental trading strategies into investment portfolio construction. These are alternative investment management styles based on macroeconomic and policy trends. If the right principles and ethics are applied, social and economic benefits arise from an improved information value of market prices, increased efficiency of capital allocation and reduced risk of financial crises.

Thematic collection: bubbles

Detecting market price distortions with neural networks

Identifying asset price bubbles

A new paper proposes a practical method for identifying asset price bubbles. First, one estimates deviations of prices from fundamentals based on three different approaches: a structural model, an econometric

Why financial markets misprice fundamental value

Experimental research has produced robust evidence for mispricing of assets relative to their fundamental values even with active trading and sufficient information. Academic studies support a wide range of causes

Explosive dynamics in exchange rates

Explosiveness in financial markets means that prices display exponential growth. In recent years statistical tests have been developed to locate mildly explosive bubble periods in real time. In conjunction with

Pension funds and herding

Pension funds have three types of motivations for herding: rebalancing rules, the effects of regulatory changes and peer pressure of senior executives. A new empirical study detects all of these

Variance risk premia for patient investors

The variance risk premium manifests as a long-term difference between option-implied and expected realized asset price volatility. It compensates investors for taking short volatility risk, which typically comes with a

The risk-reversal premium

The risk reversal premium manifests as an overpricing of out-of-the-money put options relative to out-of-the-money call options with equal expiration dates. The premium apparently arises from equity investors’ demand for

Measures of market risk and uncertainty

In financial markets, risk refers to the probability distribution of future returns. Uncertainty is a broader concept that encompasses ambiguity about the parameters of this probability distribution. There are various

Realistic volatility risk premia

The volatility risk premium compensates investors for taking volatility risk. Conceptually it is based on the difference between options-implied and expected realized volatility. In equity markets this premium should be

Systemic Risk

Tracking systematic default risk

Systematic default risk is the probability of a critical share of the corporate sector defaulting simultaneously. It can be analyzed through a corporate default model

Crashes in safe asset markets

A new theoretical paper illustrates the logic behind runs and crashes in modern safe asset markets. Safe assets are characterized by stable value and high

Copulas and trading strategies

Reliance on linear correlation coefficients and joint normal distribution of returns in multi-asset trading strategies can be badly misleading. Such conventions often overestimate diversification benefits

Systematic Value

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