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Major stock indexes have bounced back from their March 23 trough to about 10 percent below their peaks. However, stocks that are more sensitive to the business cycle have not performed as well during this market rally. This suggests that stock markets are pricing in a slower, shallower economic recovery.

Bond dealers have traditionally kept bonds in an inventory until clients buy them. But now, dealers have another way to access bonds for their clients: the exchange-traded fund. We discuss this new way to manage bond dealing and what it might mean for bond markets.

Economic activities typically involve coordination among a large number of agents. These agents have to anticipate what other agents think before making their own decisions.

The main objectives of debt management are to raise stable and low-cost funding to meet the government’s financial needs and to maintain a well-functioning market for government securities.

Can Bitcoin survive? Some say it will become vulnerable to attacks as the rewards for processing Bitcoin transactions continue to decline. The economics of fixed costs suggest the specialized hardware used to mine Bitcoin may be key to its survival.

The disruption due to COVID-19 reverberated through the bond markets in three phases. In the first phase, dealers met the rising demand for liquidity. In the second, dealers reduced the supply of liquidity, and trading conditions worsened significantly. Finally, the market returned to relative stability following several interventions by the Bank of Canada.

In times of high uncertainty, governments often implement interventions such as bailouts to financial institutions. To use public resources efficiently and to avoid major spillovers to the rest of the economy, policy-makers try to identify which institutions should receive assistance.

In this study, we enhance Markowitz portfolio selection with graph theory for the analysis of two portfolios composed of either EU or US assets. Using a threshold-based decomposition of their respective covariance matrices, we perturb the level of risk in each portfolio and build the corresponding sets of graphs.

Investors who trade based on good research are said to be the backbone of stock markets: They conduct research to discover the value of stocks and, through their trading, guide financial prices to reflect true value. What can make their job difficult is that high-speed, short-term traders could use machine learning and other technologies to infer when informed investors are trading.

We investigate the uncertainty around stock returns at different investment horizons. Since a return is either a loss or a gain, we categorize return uncertainty into two components—loss uncertainty and gain uncertainty. We then use these components to evaluate investment.