We use the database leak of Mt. Gox exchange to analyze the dynamics of the price of bitcoin from June 2011 to November 2013. This gives us a rare opportunity to study an emerging retail-focused, highly speculative and unregulated market with trader identifiers at a tick transaction level. Jumps...

We propose a mechanism explaining the recent high positive correlation between cryptocurrencies and the stock market. With a unique dataset of investor-level holdings from a bank offering trading accounts and cryptocurrency wallets, we show that retail investors’ net trading volumes of stocks...

Using quarterly data over 1973:4-2008:2, two-variable systems of house prices and income are specified for three major house-owning economies: New Zealand (N.Z.), the U.K. and the U.S. After considering differences in price−income relationships over sub-periods, the analysis compares responses...

The aim of this paper is to investigate long-term portfolio management in a fully structural macro- financial framework. First, we estimate a Dynamic Stochastic General Equilibrium (DSGE) model that describes the dynamic of the US economy and financial markets. In addition to the typical...

Modern open economy macro models assume the continuous adjustment of international portfolio allocation. We introduce gradual portfolio adjustment into a global equity market model. Our approach differs from related literature in two key dimensions. First, the time interval between portfolio...

How predictable are personal income tax rates in the U.S., and does household spending respond to news about future taxes even before the rates change? To answer these questions, this paper uses novel historical high-frequency data of tax-exempt municipal bonds and develops a model of the term...

We use transaction data gathered by a large fintech firm to study retail investors’ investments in cryptocurrencies. Crypto investors tend to be young, male, high-income, and live in wealthy urban areas with high levels of self-employment and low levels of altruism. Crypto investments are...

We develop a strong diagnostic for bubbles and crashes in bitcoin, by analyzing the coincidence (and its absence) of fundamental and technical indicators. Using a generalized Metcalfe's law based on network properties, a fundamental value is quantified and shown to be heavily exceeded, on at...

We present a detailed bubble analysis of the Bitcoin to US Dollar price dynamics from January 2012 to February 2018. We introduce a robust automatic peak detection method that classifies price time series into periods of uninterrupted market growth (drawups) and regimes of uninterrupted market...