Cojumping: Evidence from the US Treasury Bond and Futures Markets

The basis between spot and future prices will be affected by jump behavior in each asset price, challenging intraday hedging strategies. Using a formal cojumping test this paper considers the cojumping behavior of spot and futures prices in high frequency US Treasury data. Cojumping occurs most frequently at shorter maturities and higher sampling frequencies. We find that the presence of an anticipated macroeconomic news announcement, and particularly non-farm payrolls, increases the probability of observing cojumps. However, a negative surprise in non-farm payrolls, also increases the probability of the cojumping tests being unable to determine whether jumps in spots and futures occur contemporaneously, or alternatively that one market follows the other. On these occasions the market does not clearly signal its short term pricing behavior.US Treasury markets, high frequency data, cojump test

Cojumping: Evidence from the US Treasury Bond and Futures Market

The basis between spot and future prices will be affected by jump behavior in each asset price, challenging intraday hedging strategies. Using a formal cojumping test this paper considers the cojumping behaviour of spot and futures prices in high frequency US Treasury data. Cojumping occurs most frequently at shorter maturities and higher samling frequencies. We find that the presence of an anticipated macroeconomic news announcement is sufficient to change the probability of observing cojumps. Moreover, news surprises in non-farm payrolls, CPI, GDP and retail sales play a leading role in changing the probabilities of cojumps. However, surprises in non-farm payrolls also increase the probability of the cojumping tests being unable to determine whether jumps in spots and futures occur contemporaneously. On these occasions the market does not clearly signal its short term pricing behavior

System-wide tail comovements: A bootstrap test for cojump identification on the S&P 500, US bonds and currencies

This paper studies bivariate tail comovements on financial markets that are of crucial importance for the world economy: the S&P 500, US bonds, and currencies. We propose to study that form of dependence under the lens of cojump identification in a bivariate Brownian semimartingale with idiosyncratic jumps, as well as cojumps. Whereas univariate jump identification has been widely studied in the high-frequency data literature, the multivariate literature on cojump identification is more recent and scarcer. Cojump identification is of interest, as it may identify comovements which are not trivially visible in a univariate setting. That is, price changes can be small relative to local variation, but still abnormal relative to local covariation. This paper investigates how simple parametric bootstrapping of the product of assets' intraday returns can help detect cojumps in a multivariate Brownian semi-martingale with both idiosyncratic jumps and cojumps. In particular, we investigate how to disentangle idiosyncratic jumps from common jumps at an intraday level for pairs of assets. The approach is flexible, trivial to implement, and yields good power properties. It allows to shed new light on extreme dependence at the world economy level. We detect cojumps of heterogeneous size which are partly undetected with a univariate approach. We find an increased cojump intensity after the crisis on the S&P 500-US bonds pair before a return to normal

Pairwise tests of purchasing power parity

Given nominal exchange rates and price data on N + 1 countries indexed by i = 0,1,2,…, N, the standard procedure for testing purchasing power parity (PPP) is to apply unit root or stationarity tests to N real exchange rates all measured relative to a base country, 0, often taken to be the U.S. Such a procedure is sensitive to the choice of base country, ignores the information in all the other cross-rates and is subject to a high degree of cross-section dependence which has adverse effects on estimation and inference. In this article, we conduct a variety of unit root tests on all possible N(N + 1)/2 real rates between pairs of the N + 1 countries and estimate the proportion of the pairs that are stationary. This proportion can be consistently estimated even in the presence of cross-section dependence. We estimate this proportion using quarterly data on the real exchange rate for 50 countries over the period 1957-2001. The main substantive conclusion is that to reject the null of no adjustment to PPP requires sufficiently large disequilibria to move the real rate out of the band of inaction set by trade costs. In such cases, one can reject the null of no adjustment to PPP up to 90% of the time as compared to around 40% in the whole sample using a linear alternative and almost 60% using a nonlinear alternative

What Determines Investment in the Oil Sector?: A New Era for National and International Oil Companies

This paper discusses recent trends in investment in the oil sector, amid new challenges for national and international oil companies in an increasingly supply-constrained environment. After more than a decade of stagnant investment rates, nominal investment has picked up sharply over the three years ending in 2007, but soaring costs (including from higher tax rates and royalties) meant that investment growth was minimal in real terms. The paper performs econometric tests using the Arellano-Bond GMM technique. It finds that `below ground¿ risks are statistically very important in deterring real investment. Companies are taking on increasingly complex geological challenges, which are putting upward pressure on production costs and are leading to greater project delays compared to the past. As many of these factors are expected to persist, supply constraints are likely to remain a dominant factor behind oil price fluctuations during the next several years

What Determines Investment in the Oil Sector?: A New Era for National and International Oil Companies

This paper discusses recent trends in investment in the oil sector, amid new challenges for national and international oil companies in an increasingly supply-constrained environment. After more than a decade of stagnant investment rates, nominal investment has picked up sharply over the three years ending in 2007, but soaring costs (including from higher tax rates and royalties) meant that investment growth was minimal in real terms. The paper performs econometric tests using the Arellano-Bond GMM technique. It finds that `below ground¿ risks are statistically very important in deterring real investment. Companies are taking on increasingly complex geological challenges, which are putting upward pressure on production costs and are leading to greater project delays compared to the past. As many of these factors are expected to persist, supply constraints are likely to remain a dominant factor behind oil price fluctuations during the next several years

What Determines Investment in the Oil Sector?: A New Era for National and International Oil Companies

This paper discusses recent trends in investment in the oil sector, amid new challenges for national and international oil companies in an increasingly supply-constrained environment. After more than a decade of stagnant investment rates, nominal investment has picked up sharply over the three years ending in 2007, but soaring costs (including from higher tax rates and royalties) meant that investment growth was minimal in real terms. The paper performs econometric tests using the Arellano-Bond GMM technique. It finds that `below ground¿ risks are statistically very important in deterring real investment. Companies are taking on increasingly complex geological challenges, which are putting upward pressure on production costs and are leading to greater project delays compared to the past. As many of these factors are expected to persist, supply constraints are likely to remain a dominant factor behind oil price fluctuations during the next several years.Business Development, Petroleum, Coal & Natural Gas, Energy & Mining, What Determines Investment in the Oil Sector?