We study a robo-advising portfolio optimizer that constructs tailored strategies based on in- vestors' holdings and preferences. Adopters are similar to non-adopters in terms of demographics, but have more assets under management, trade more, and have higher risk-adjusted performance. The...

We study a robo-advising portfolio optimizer that constructs tailored strategies based on investors' holdings and preferences. Adopters are similar to non-adopters in terms of demographics, but have more assets under management, trade more, and have higher risk-adjusted performance. The...

We study a robo-advising portfolio optimizer that constructs tailored strategies based on investors' holdings and preferences. Adopters are similar to non-adopters in terms of demographics, but have more assets under management, trade more, and have higher risk-adjusted performance. The...

We propose a new market design for trading financial assets. The design has three elements: (1) traders may place orders for any user-defined linear combination of assets,with arbitrary positive and negativeweights; (2) orders are downwardsloping piecewise-linear demand curves with quantities...

The hypothesis of “market microstructure invariance” — based on the intuition that the size and costs of transferring risk in “business time” is constant across assets and time — is tested using a database of 400,000 portfolio transition trades. Defining trading activity W as the...

We propose a new market design for trading financial assets. The design combines three elements: (1) Orders are downward-sloping linear demand curves with quantities expressed as flows; (2) Markets clear in discrete time using uniform-price batch auctions; (3) Traders may submit orders for...