How regulatory reform shapes the financial cycle

Ambitious regulatory reform has changed the dynamics of the global financial system. Capital ratios of banks have increased significantly, reining in bank credit. Counter-cyclical bank capital rules slow credit expansions by design and yield greater influence to non-banks. Meanwhile, the liquidity coverage ratio has restricted one of the key functions of banks: liquidity transformation. Regulation has also created its own moral hazards. In particular, the preferential treatment of government bonds has boosted their share in bank assets. The neglect of sovereign risk in liquidity regulation constitutes a significant systemic risk as public debt-to-GDP ratios are at or near record highs in many key economies.

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Predicting equity volatility with return dispersion

Equity return dispersion is measured as the standard deviation of returns across different stocks or portfolios. Unlike volatility it can be measured even for a single relevant period and, thus, can record changing market conditions fast. Academic literature has shown a clear positive relation between return dispersion, volatility and economic conditions. New empirical research suggests that return dispersion can predict both future equity return volatility and equity premia. The predictive relation has been non-linear, suggesting that it is the large changes in dispersion that matter.

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Low rates troubles for insurances and pension funds

A CGFS report highlights the pressure of a ‘low for long’ interest rate environment on life insurance companies and defined-benefit pension funds. This pressure reflects a fundamental mismatch: the duration of liabilities is greater than that of assets. Hence low rates (discount factors) have reduced funding ratios below 100% after the great financial crisis. Simulations suggest that funding ratios could decline further, possibly accompanied by negative net cash flows. A ‘low-for-long’ scenario would broadly make things worse. While the nature of this risk is well known, its manifestation is gradual and partly mitigated by the asset reflation of the 2010s. The worst scenario for insurance companies and pension funds is one where rates ultimately fail to rise or are pushed even lower (negative) due to new deflationary financial market shocks.

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Update on the great public debt issue

The latest IMF fiscal monitor is a stark reminder of the public finance risks in the world. Public debt ratios have remained stuck near record highs of 105% of GDP for the developed world and a 3-decade high of 50% for EM countries. If one includes contingent liabilities public debt would average over 200% of GDP in advanced economies and 112% in emerging economies. Deficits remain sizeable in the developed and emerging world, notwithstanding the mature stage of the business cycle. Overall the financial position of governments today is a lot more precarious than during past recoveries, leaving them ill prepared for future adverse shocks. The U.S. is even easing fiscal policy, expanding its deficit and an already high debt ratio. Also, China’s public debt stock is expected to rise rapidly in future years.

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How to prepare for the next systemic crisis

Systemic crises are rare. But they are make-or-break events for long-term performance and social relevance of investment managers. In systemic crises conventional investment strategies lose big. The rules of efficient positioning are turned upside down. Trends follow distressed flows away from best value and institutions abandon return optimization for the sake of preserving capital and liquidity. It is hard to predict systemic events, but through consistent research it is possible to improve judgment on systemic vulnerabilities. When crisis-like dynamics get underway this is crucial for liquidating early, following the right trends and avoiding trades in extreme illiquidity. Crisis opportunities favor the prepared, who has set up emergency protocols, a realistic calibration of tail risk and an active exchange of market risk information with other managers and institutions.

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Modern financial system leverage

Leverage in modern financial systems arises from bank balance sheets and off-balance sheet transactions that involve banks and other financial institution. Non-bank funding of banks and credit is large, rising, and not fully captured in official statistics. Collateralized transactions and wealth management products are important underappreciated parts of system leverage. The classic narrow focus on bank credit-to-GDP ratios does not only underestimate leverage in size, but also overestimates the stability of sources of funding.

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The shadow of China’s banks

Unlike in the U.S., shadow banking in China is dominated by commercial banks, not securities markets. Regulated banks operate most shadow banking activity, take direct risks, provide implicit guarantees and use non-bank entities to shift assets off their balance sheets. That is why China’s shadow banking is called ‘the shadow of banks’ and why it is such a central factor of systemic risk in this highly leveraged economy. China’s shadow banking has important economic functions for individual savers and smaller enterprises. Outstanding ‘shadow savings’ are estimated at roughly 70% of GDP.

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The danger of volatility feedback loops

There is evidence that the financial system has adapted to low fixed income yields through an expansion of explicit and implicit short volatility strategies. These strategies earn steady premia but bear large volatility, “gamma” and correlation risks and include popular devices such as leveraged risk parity and share buybacks. The total size of explicit and implicit short-volatility strategies may have reached USD2000 billion and probably created two dangerous feedback loops. The first is a positive reinforcement between interest rates and volatility that will overshadow central banks’ attempts to normalize policy rates. The second is a positive reinforcement between measured volatility and the effective scale of short-volatility positions that has increased the risk of escalatory market volatility spirals.

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Policy rates and equity volatility

Measures of monetary policy rate uncertainty significantly improve forecasting models for equity volatility and variance risk premia. Theoretically, there is a strong link between the variance of equity returns in present value models and the variance short-term rates. For example, there is natural connection between recent years’ near-zero forward-guided policy rates and low equity volatility. Empirically, the inclusion of derivatives-based measures of short-term rate volatility in regression forecast models for high-frequency realized equity volatility has added significant positive predictive power at weekly, monthly and quarterly horizons.

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The 1×1 of risk perception measures

There are two reasons why macro traders watch risk perceptions. First, sudden spikes often trigger subsequent flows and macroeconomic change. Second, implausibly high or low values indicate risk premium opportunities or setback risks. Key types of risk and uncertainty measures include [1] keyword-based newspaper article counts that measure policy and geopolitical uncertainty, [2] survey-based economic forecast discrepancies, [3] asset price-based measures of fear and uncertainty and [4] derivatives-implied cost of hedging against directional risk and price volatility.

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