Market Size Matters: A Model of Excess Volatility in Large Markets∗
نویسنده
چکیده
We present a model of excess volatility based on speculation and equilibrium multiplicity. Each trader has two distinct motives to trade: (i) speculation based on noisy signals, and (ii) hedging against endowment shocks. The key to equilibrium multiplicity is the self-fulfilling nature of information aggregation: if individuals trade relatively more on the basis of speculation rather than hedging, then prices reveal more information on payoff risk which in turn justifies less need for hedging. We first show that multiplicity arises only in large markets where aggregate shocks in prices are suffi ciently more important than idiosyncratic shocks. We then show that (i) in a given equilibrium, excess volatility increases with payoff volatility, (ii) comparing across different equilibria, excess volatility is negatively associated with liquidity, trading volume, and social welfare. We also show that an increase in market size either creates high-volatility equilibria or eliminates low-volatility equilibria. Among other things, the model predicts that given two assets identical in their fundamental properties, the one that attracts more traders overtime is more likely to experience a jump in excess volatility.
منابع مشابه
Modeling Stock Market Volatility Using Univariate GARCH Models: Evidence from Bangladesh
This paper investigates the nature of volatility characteristics of stock returns in the Bangladesh stock markets employing daily all share price index return data of Dhaka Stock Exchange (DSE) and Chittagong Stock Exchange (CSE) from 02 January 1993 to 27 January 2013 and 01 January 2004 to 20 August 2015 respectively. Furthermore, the study explores the adequate volatility model for the stoc...
متن کاملA Neural-Network Approach to the Modeling of the Impact of Market Volatility on Investment
In recent years, authors have focused on modeling and forecasting volatility in financial series it is crucial for the characterization of markets, portfolio optimization and asset valuation. One of the most used methods to forecast market volatility is the linear regression. Nonetheless, the errors in prediction using this approach are often quite high. Hence, continued research is conducted t...
متن کاملCorrelated liquidity shocks, ...nancial contagion and asset price dynamics
Recent literature shows how the destabilising e¤ect of portfolio insurance activity on the price of the underlying asset depends on the liquidity of the asset market. We build a simple model where market timers shift capital around asset markets in order to exploit gains from temporary excess-volatility of asset prices. In this way, market timers increase the liquidity of asset markets reducing...
متن کاملComputerized Linking of Capital Markets - A Viable Approach
Interlinking capital markets has always been an interesting issue since it not only provides more investment opportunities but also results in reduction of the risk of market volatility due to increase in the size of market. However, global and local barriers like different currencies, legal issues, settlement risks and costs prevent such interlink age to take place efficiently. In this paper, ...
متن کاملVolatility Spillover of the Exchange Rate and the Global Economy on Iran Stock Market
Financial markets are one of the most fundamental markets in any country. In the financial markets, the securities market and the foreign exchange market are sensitive sectors. These two markets are affected by fluctuations and economic cycles so reflect economic changes rapidly. Changes in the returns of one market due to arbitrage conditions during time lead to changes in the returns of other...
متن کامل