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Increased sovereign credit risk is often associated with sharp currency movements. Therefore, expectations of the probability of a sovereign default event can convey important information regarding future movements of exchange rates.

Many reports and analyses interpret the release of new economic data based on the headline surprise—for instance, total inflation, real GDP growth and the unemployment rate. However, we find that headline news alone cannot adequately explain the responses of market prices to new information. Rather, market prices react more strongly, on average, to non-headline news such as the composition of GDP growth, quality of jobs created and revisions to past data. Thus, tracking the impact of non-headline information released on the news day is crucial in analyzing how markets interpret and react to new economic data.

Over the past 25 years, world long-term interest rates have declined to levels not seen since the 1960s. This decline has been accompanied by falling world investment and savings rates. The authors explore global saving and investment outcomes that have led to the fall in the world real interest rate. The results show that the key factors explaining movements in savings and investment are variables that evolve relatively slowly over time, such as labour force growth and the age structure of the world economy. The conclusions suggest that, over the coming years, it is unlikely that these slowly changing variables will be a source of significant changes in world real interest rates.

We provide empirical evidence on the impact of oil supply shocks on global aggregates. To do this, we first extract structural oil supply shocks from a standard oil-price determination model found in the literature.

Perceived income risks reported in a survey of consumer expectations are more heterogeneous and, on average, lower than indirectly calibrated risks based on panel data. They prove to be one explanation for why a large fraction of households hold very little liquid savings and why accumulated wealth is widely unequal across households.

Understanding the size of sectoral links is crucial to predicting the impact of a crisis on the whole economy. We show that statistical learning techniques substantially outperform traditional estimation techniques when measuring large networks of these links.

A put option is a financial contract that gives the holder the right to sell an asset at a specific price by (or at) a specific date. A put option can therefore provide its holder insurance against a large drop in the stock price. This makes the prices of put options an ideal source of information for a market-based measure of the probability of a firm’s default.

We study the impact government expenditure has on inflation. We find that changes in government expenditure account for a substantial portion of inflation variations. We also find that inflation and inflation expectations respond negatively to fiscal spending shocks, reaffirming the supply-side channel through which inflation responds to fiscal expansions.

How might one simulate a million realistic income paths and compute their statistical moments in under a second? Using CUDA-based methods to estimate the Canadian earnings process, I find that the distribution of labour income growth is sharply peaked with heavy tails—similar to that in the United States.

Burkart and Ellingsen's (2004) model of trade credit and bank credit rationing predicts that trade credit will be used by medium-wealth and low-wealth firms to help ease bank credit rationing.