Climate change and systemic financial risk

May 22, 2016

The rise in global temperatures calls for a lower-carbon economy overtime. This poses systemic financial risk in two ways. First, large fossil-fuel reserves may become unburnable, triggering a collapse in asset valuations and a rise in corporate and sovereign default risk. Second, ecological deterioration may trigger belated and sudden policy adjustments, forcing the financial system to confront large underestimated carbon risk exposure and an economic recession at the same time.

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The China credit risk

May 18, 2016

The rapid rise of China’s internal debt stock is a global concern. Oxford Economics research shows that non-financial sector debt has soared to 250% of GDP in 2015, due mainly to a very high investment ratio alongside falling corporate profitability. Debt-to-asset ratios look worrisome in problem industries and real estate. Problem loans could be 10-15% of GDP now and might rise to systemically critical levels if the credit boom continues.

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Understanding bid-offer spreads in OTC markets

May 14, 2016

Bid-offer spreads are traditionally explained by inventory costs, operating expenses and dealers’ risk of transacting with better-informed clients. In OTC (over-the-counter) markets, however, client knowledge and market power of dealers gives rise to price discrimination in favor of clients with high volumes and sophistication. Institutional investment strategies in forwards, swaps and options that are sensitive to transaction cost must consider the institution’s standing with their market makers.

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The term premium of interest rate swaps

May 7, 2016

A Commerzbank paper proposes a practical way to estimate term premia across interest rate swap markets. The method adjusts conventional yield curves for median error curves, i.e. for recent tendencies of implied future yields to overpredict spot yields. The adjustment produces “neutral curves” or presumed unbiased predictors of future yields. The neutral curves can then be used to back out term premia.

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China housing and global base metal prices

April 30, 2016

China consumes half of the world’s base metal supply. Its housing market is the most metal-intensive large sector. A new quantitative study shows that China housing has been a key determinant of global metal prices during the boom of the 2000s and the bust since 2014. It is a crucial ingredient of forecasting models for directional commodity trading.

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Insurance companies and systemic risk

April 23, 2016

The contribution of life insurers to systemic risk has increased, according to the IMF Global Financial Stability Report. They now hold about 12% of global assets and common exposure to aggregate risk has risen. Insurers are vital for key market segments such as corporate bonds and securities lending. Meanwhile, low global interest rates have aggravated duration gaps, increased interest rate sensitivity and may encourage greater risk taking.

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The rise of EM fiscal risks

April 20, 2016

The latest IMF Fiscal Monitor quantifies the significant deterioration in emerging market government finances. The average deficit-to-GDP ratio in EM is expected to reach 4.7% of GDP this year while the average debt ratio is approaching 48%. The structural deficits of many commodity exporters seem too large to sustain if commodity prices fail to recover. Moreover, dangers from contingent liabilities related to banks and the massive EM corporate debt stock have increased.

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The “de-anchoring” of inflation in the euro area

April 16, 2016

Two recent empirical studies highlight the risk that inflation expectations in the euro area are becoming de-anchored, similar to Japan. De-anchoring means that short-term price shocks can change long-term expectations. Importantly, the papers suggest medium- and short-term measures to track this de-anchoring. De-anchoring increases the risk of actual deflation and may add to the risk premia on equity and credit.

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Using commodity prices to predict exchange rates

April 9, 2016

A new empirical study confirms that export price changes explain a substantial part of commodity currency fluctuations, particularly at high frequencies. More importantly, country-specific export price indices help predicting commodity countries’ future exchange rate dynamics. The predictive power appears to be most robust over a horizon of one month.

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Pension funds and herding

April 2, 2016

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 in the trading flows of the large Dutch pension funds. These flows offer opportunities for contrarian traders that provide liquidity to the “herd”.

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asset management Asset Purchase Program banks bond returns bond yields bubbles capital regulation carry China collateral commodities credit returns default ECB economic data EM equity returns euro area crisis Fed financial crisis FX FX interventions FX returns government debt government deficits herding inflation information insurances Japan leverage liquidity machine learning market turmoil price factors regulation risk management shadow banking statistical methods term structure trend following variance risk premium VIX volatility ZLB
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Macrosynergy is a London based macroeconomic research and technology company whose founders have developed and employed macro quantamental investment strategies in liquid, tradable asset classes, across many markets and for a variety of different factors to generate competitive, uncorrelated investment returns for institutional investors for two decades. Our quantitative-fundamental (quantamental) computing system tracks a broad range of real-time macroeconomic trends in developed and emerging countries, transforming them into macro systematic quantamental investment strategies. In June 2020 Macrosynergy and J.P. Morgan started a collaboration to scale the quantamental system and to popularize tradable economics across financial markets.

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