Financial assistance provided by the International Monetary Fund (IMF) is supposed to unlock other financing, acting as a catalyst for private capital flows. The empirical evidence of the presence of such a catalytic effect has, however, been mixed. This paper shows that a possible explanation...

We develop a tractable model to study the macroeconomic impacts of limited arbitrage by linking arbitrage activities with the macroeconomy through collateralization. We show that the interactions between speculative trading and the business cycle can work as a powerful transmission mechanism,...

We investigate the channel through which fluctuations in the market liquidity of real-sector repo collateral cause arbitrage crashes and failure of systemically important intermediaries during the global financial crisis. Intermediaries pledge productive capital as repo collateral to fund the...

We identify the origin of the contradicting perspectives on credit creation offered by Austrian, Mainstream and Post Keynesian economists as the neglect of the primacy of such assets as goods, properties and securities, which always pre-exist any transaction and loan. We develop a unified...

We introduce a novel quantitative methodology to detect real estate bubbles and forecast their critical end time, which we apply to the housing markets of China's major cities. Building on the Log-Periodic Power Law Singular (LPPLS) model of self-reinforcing feedback loops, we use the quantile...

Since 2009, stock markets have resided in a long bull market regime. Passive investment strategies have succeeded during this low-volatility growth period. From 2018 on, however, there was a transition into a more volatile market environment interspersed by corrections increasing in amplitude...

The COVID-19 pandemic has increased the need for timely and granular information to assess the state of the economy in real time. Weekly and daily indices have been constructed using higher frequency data to address this need. Yet the seasonal and calendar adjustment of the underlying time...

The COVID-19 pandemic has increased the need for timely and granular information to assess the state of the economy in real time. Weekly and daily indices have been constructed using higher frequency data to address this need. Yet the seasonal and calendar adjustment of the underlying time...