The world’s negative term premium

The term premium on the “world government bond yield” has turned decisively negative, according to BIS research. Investors have since 2014 accepted a long-term yield below expected short-term rates, rather than charging a premium on duration exposure. The compression and inversion of term premia may have been fueled by a global duration carry trade and seems to be a global phenomenon. It has coincided with increased correlation of long-term yields across developed and emerging markets.

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The 1×1 of trend-following

Trend-following is the dominant alternative investment strategy. Its historical return profile has been attractive on its own and for diversification purposes. It is suitable for rising and falling prices, albeit not for range-bound and “gapping” markets. A basic trend-following algorithm is easy to build. Trend-following commands over USD300 billion in dedicated assets and a lot more are managed by informal trend-followers. The style is itself a major force of price trends, with no direct ties to fundamental asset value.

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Why the covered interest parity is breaking down

Deviations in the covered interest parity have become a regular phenomenon even in developed markets. Persistent gaps between on-shore and FX-implied interest rate differentials (“cross-currency basis”) can be explained by the combination of increased cost of financial intermediation in the wake of regulatory reform and global imbalances in investment demand and funding supply. They can offer information value and arbitrage opportunities for investors.

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How poor liquidity creates rational price distortions

When OTC markets become illiquid and dealers fail to buffer flows, institutional investors effectively face each other directly in the market. They can observe each other’s actions and position changes. For example, if large investors make offers to sell under illiquidity, the market expects to become “over-positioned” and will avoid bids at a fair price or even put in offers. In equilibrium investors transact at prices below true value and exacerbate initial negative shocks.

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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 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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Inefficient benchmarking and trading opportunities

Academic research explains how benchmarking induces investment managers to buy overvalued highly volatile assets. This makes markets inefficient and may even lead to a negative relation between risk and return. It also offers opportunities for investment strategies. First, value investors can exploit the market’s proclivity to overvalue high-beta and high-volatility assets. Second, momentum traders can exploit the flows of funds in the benchmarked industry.

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Rational informational herding

It can be rational for traders to buy with rising prices and sell with falling prices. In particular, this should be the case if traders possess private information suggesting that “something big” is coming and that prices may move significantly, even if direction is not certain (e.g. “make-or-break” situations). Experiments confirm such rational informational herding.

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China’s “double impact” on commodity prices

China consumes about one third of the world’s commodities. However, its influence on commodity prices goes beyond that. Chinese institutions are also major users of commodities as collateral. Empirical evidence shows a significant link between domestic lending and global commodity prices, particularly through so-called commodity financing deals.

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Central clearing and systemic risk

The expansion of central clearing has created a greater interconnectedness of financial markets and new systemic risks. Large losses of some of clearing members might exhaust central counterparties’ liquid assets and backup lines, triggering unfunded liquidity arrangements and strains on the remaining clearing members. Moreover, collateral requirements of central counterparties could surge in crises.

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The risks in statistical risk measures

A DNB paper warns that financial market risk models (such as value-at-risk or expected shortfall) are unreliable. Small variations in assumptions cause large differences in risk forecasts. At commonly used small samples of data forecasts are close to random noise. It would take half a century of daily data for estimates to reach their theoretical asymptotic properties.

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