Competing on Speed

Two forces have reshaped global securities markets in the last decade: Exchanges operate at much faster speeds and the trading landscape has become more fragmented. In order to analyze the positive and normative implications of these evolutions, we study a framework that captures (i) exchanges' incentives to invest in faster trading technologies and (ii) investors' trading and participation decisions. Our model predicts that regulation that protect prices will lead to fragmentation and faster trading speed. Asset prices decrease when there is intermediation competition and are further depressed by price protection. Endogenizing speed can also change the slope of asset demand curves. On normative side, we find that for a given number of exchanges, faster trading is in general socially desirable. Similarly, for a given trading speed, competition among exchange increases participation and welfare. However, when speed is endogenous, competition between exchanges is not necessarily desirable. In particular, speed can be inefficiently high. Our model sheds light on important features of the experience of European and U.S. markets since the implementation of Reg. NMS, and provides some guidance for optimal regulations.

Asset Pricing Frictions in Fragmented Markets

We study the consequences of trading fragmentation and speed on liquidity and asset prices. Exchanges invest in speed-enhancing technologies and price trading services to attract investors. Investors trade due to idiosyncratic preference shocks. We show how the resulting market organization affects asset liquidity and the composition of participating investors. In a consolidated market, speed investments raise liquidity and prices. When markets fragment, liquidity and asset prices can move in opposite directions. We also show how mechanisms that protect execution prices, such as the SEC’s trade-through rule, can decrease price levels and trading volume relative to unregulated markets. Our results suggest that recent regulatory reforms in secondary markets may have unintended negative consequences for public corporations

Competing on Speed

Two forces have reshaped global securities markets in the last decade: Exchanges operate at much faster speeds and the trading landscape has become more fragmented. In order to analyze the positive and normative implications of these evolutions, we study a framework that captures (i) exchanges' incentives to invest in faster trading technologies and (ii) investors' trading and participation decisions. Our model predicts that regulation that protect prices will lead to fragmentation and faster trading speed. Asset prices decrease when there is intermediation competition and are further depressed by price protection. Endogenizing speed can also change the slope of asset demand curves. On normative side, we find that for a given number of exchanges, faster trading is in general socially desirable. Similarly, for a given trading speed, competition among exchange increases participation and welfare. However, when speed is endogenous, competition between exchanges is not necessarily desirable. In particular, speed can be inefficiently high. Our model sheds light on important features of the experience of European and U.S. markets since the implementation of Reg. NMS, and provides some guidance for optimal regulations

Competing on Speed

Two forces have reshaped global securities markets in the last decade: Exchanges operate at much faster speeds and the trading landscape has become more fragmented. In order to analyze the positive and normative implications of these evolutions, we study a framework that captures (i) exchanges’ incentives to invest in faster trading technologies and (ii) investors’ trading and participation decisions. Our model predicts that regulations that protect prices will lead to fragmentation and faster trading speed. Asset prices decrease when there is intermediation competition and are further depressed by price protection. Endogenizing speed can also change the slope of asset demand curves. On normative side, we find that for a given number of exchanges, faster trading is in general socially desirable. Similarly, for a given trading speed, competition among exchange increases participation and welfare. However, when speed is endogenous, competition between exchanges is not necessarily desirable. In particular, speed can be inefficiently high. Our model sheds light on important features of the experience of European and U.S. markets since the implementation of MiFID and Reg. NMS, and provides some guidance for optimal regulations

Competing on Speed

Two forces have reshaped global securities markets in the last decade: Exchanges operate at much faster speeds and the trading landscape has become more fragmented. In order to analyze the positive and normative implications of these evolutions, we study a framework that captures (i) exchanges' incentives to invest in faster trading technologies and (ii) investors' trading and participation decisions. Our model predicts that regulation that protect prices will lead to fragmentation and faster trading speed. Asset prices decrease when there is intermediation competition and are further depressed by price protection. Endogenizing speed can also change the slope of asset demand curves. On normative side, we find that for a given number of exchanges, faster trading is in general socially desirable. Similarly, for a given trading speed, competition among exchange increases participation and welfare. However, when speed is endogenous, competition between exchanges is not necessarily desirable. In particular, speed can be inefficiently high. Our model sheds light on important features of the experience of European and U.S. markets since the implementation of Reg. NMS, and provides some guidance for optimal regulations

Competing on Speed

Two forces have reshaped global securities markets in the last decade: Exchanges operate at much faster speeds and the trading landscape has become more fragmented. In order to analyze the positive and normative implications of these evolutions, we study a framework that captures (i) exchanges’ incentives to invest in faster trading technologies and (ii) investors’ trading and participation decisions. Our model predicts that regulations that protect prices will lead to fragmentation and faster trading speed. Asset prices decrease when there is intermediation competition and are further depressed by price protection. Endogenizing speed can also change the slope of asset demand curves. On normative side, we find that for a given number of exchanges, faster trading is in general socially desirable. Similarly, for a given trading speed, competition among exchange increases participation and welfare. However, when speed is endogenous, competition between exchanges is not necessarily desirable. In particular, speed can be inefficiently high. Our model sheds light on important features of the experience of European and U.S. markets since the implementation of MiFID and Reg. NMS, and provides some guidance for optimal regulations

Non-Standard Errors

In statistics, samples are drawn from a population in a data-generating process (DGP). Standard errors measure the uncertainty in estimates of population parameters. In science, evidence is generated to test hypotheses in an evidence-generating process (EGP). We claim that EGP variation across researchers adds uncertainty: Non-standard errors (NSEs). We study NSEs by letting 164 teams test the same hypotheses on the same data. NSEs turn out to be sizable, but smaller for better reproducible or higher rated research. Adding peer-review stages reduces NSEs. We further find that this type of uncertainty is underestimated by participants