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The Dynamics of Price Jumps in the Stock Market

The Dynamics of Price Jumps in the Stock Market PDF Author: Fabrizio Ferriani
Publisher:
ISBN:
Category :
Languages : en
Pages : 39

Book Description
We study the bivariate jump process involving the S&P 500 and the Euro Stoxx 50 with jumps extracted from high frequency data using non-parametric methods. Our analysis, based on a generalized Hawkes process, reveals the presence of self-excitation in the jump activity which is responsible for jump clustering but has a very small persistence in time. Concerning cross-market effects, we find statistically significant co-jumps occurring when both markets are simultaneously operating but no evidence of contagion in the jump activity, suggesting that the role of jumps in volatility transmission is negligible. Moreover, we find a negative relationship between the jump activity and the continuous volatility indicating that jumps are mostly detected during tranquil market conditions rather than in periods of stress. Importantly, our empirical results are robust under different jump detection methods.

The Dynamics of Price Jumps in the Stock Market

The Dynamics of Price Jumps in the Stock Market PDF Author: Fabrizio Ferriani
Publisher:
ISBN:
Category :
Languages : en
Pages : 39

Book Description
We study the bivariate jump process involving the S&P 500 and the Euro Stoxx 50 with jumps extracted from high frequency data using non-parametric methods. Our analysis, based on a generalized Hawkes process, reveals the presence of self-excitation in the jump activity which is responsible for jump clustering but has a very small persistence in time. Concerning cross-market effects, we find statistically significant co-jumps occurring when both markets are simultaneously operating but no evidence of contagion in the jump activity, suggesting that the role of jumps in volatility transmission is negligible. Moreover, we find a negative relationship between the jump activity and the continuous volatility indicating that jumps are mostly detected during tranquil market conditions rather than in periods of stress. Importantly, our empirical results are robust under different jump detection methods.

Price Jumps and the Related Liquidity Dynamics

Price Jumps and the Related Liquidity Dynamics PDF Author: Die Wan
Publisher:
ISBN:
Category :
Languages : en
Pages : 67

Book Description
Using 9559 single jumps detected from high frequency data of 220 individual stocks in SZ300P index, the paper investigates the liquidity dynamics around price jumps in Chinese market. By event study method and regression method, some interesting empirical results are obtained. The trading volumes at the price jumps are extraordinarily high, in particular at the positive price jumps, and the buyer-initiated trades contribute more to price volatilities. These may be associated with the high proportion of retail investors and their herding behavior for price chasing. Some evidences from the limit order book at jumps may reveal existence of plenty of informed trading, e.g., the order depth is quite large even 30 minutes before jumps, the occurrence of price jumps needs a quite thick limit order book, and price jumps consume the liquidity at a fast speed. The price reversal after price jumps is significant, and the volume and depth dynamics both contribute to the price reversal effect. Moreover, the size and direction of jumps are significantly correlated with the returns and trades in the post-jump trading time. The findings could be explained as the joint effect of herding behavior and informed trading. All these results may suggest that Chinese stock market need make a great effort to enforce its market discipline, and reform its trading regime.

Price Jumps on European Stock Markets

Price Jumps on European Stock Markets PDF Author: Jan Hanousek
Publisher:
ISBN:
Category :
Languages : en
Pages : 32

Book Description
We analyze the dynamics of price jumps and the impact of the European debt crisis using the high-frequency data reported by selected stock exchanges on the European continent during the period January 2008 to June 2012. We employ two methods to identify price jumps: Method 1 minimizes the probability of false jump detection (the Type-II Error-Optimal price jump indicator) and Method 2 maximizes the probability of successful jump detection (the Type-I Error-Optimal price jump indicator). We show that individual stock markets exhibited differences in price jump intensity before and during the crisis. We also show that in general the variance of price jump intensity could not be distinguished as different in the pre-crisis period from that during the crisis. Our results indicate that, contrary to common belief, the intensity of price jumps does not uniformly increase during a period of financial distress. However, there do exist differences in price jump dynamics across stock markets and investors have to model emerging and mature markets differently to properly reflect their individual dynamics.

Stock Market Liquidity

Stock Market Liquidity PDF Author: François-Serge Lhabitant
Publisher: John Wiley & Sons
ISBN: 0470181699
Category : Business & Economics
Languages : en
Pages : 502

Book Description
Brings together today's best financial minds across the world to discuss the issue of liquidity in today's markets. It is often proxied by trade-based measures (such as trading volume, frequency of trading, dollar value of shares trade, etc), order based measures and price impact measures.

Liquidity Dynamics Around Jumps. The Evidence from the Warsaw Stock Exchange

Liquidity Dynamics Around Jumps. The Evidence from the Warsaw Stock Exchange PDF Author: Barbara Bedowska-Sojka
Publisher:
ISBN:
Category :
Languages : en
Pages : 20

Book Description
The aim of our study is to examine the dynamics of trading volume and number of trades around jumps detected in intraday stock returns. We detect jumps in equally spaced 10-minute returns for most liquid stocks quoted on the Warsaw Stock Exchange within one-year sample period. We match jumps with macroeconomic and firm specific news. We find that only minority of jumps is associated with public information releases, whereas majority of them is motivated by liquidity shocks observed in the spreads, volume and the number of trades. Our findings show that jumps are related to inability of the market to absorb new and big orders. Liquidity shocks in quoted spread, volume and number of trades are the key drivers causing the occurrence of the jumps. Finally, the introduction of faster and more efficient trading system enhanced the impact of liquidity on the price formation process.

High Frequency Trading and Price Jumps in the Stock Market

High Frequency Trading and Price Jumps in the Stock Market PDF Author: Thibaut Moyaert
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description
In this paper, we investigate liquidity supply and demand around price jumps in a pure order driven stock market using a detailed tick frequency data set on the Euronext 100 index. The advantage of this database is to allow us to disentangle two major evolutions in European financial markets: the emergence of high frequency trading and the implementation of multilateral trading facilities. We generate average 2-minute trading volume interval and assess liquidity dynamics through an extensive set of order book-based measures (liquidity supply) and trade-based measures (liquidity demand). Furthermore, we also consider order submission dynamics and investor types activity around price jumps. We find the origin of market disruptions lies in a low liquidity supply while at the opposite liquidity demand slows down. All our results suggest a higher involvement of high frequency trading activity in the market around price jumps. To emphasize our findings, we conduct bidirectional Granger causality tests that support our results.

Jumps in Stock Prices: New Insights from Old Data

Jumps in Stock Prices: New Insights from Old Data PDF Author: James A. Johnson
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description
We characterize jump dynamics in stock market returns using a novel series of intraday prices covering over 80 years. Jump dynamics vary substantially over time. Trends in jump activity relate to secular shifts in the nature of news. Unscheduled news often involving major wars drives jump activity in early decades, whereas scheduled news and especially news pertaining to monetary policy drives jump activity in recent decades. Jump variation measures forecast excess stock market returns, consistent with theory. Results support models featuring a separate jump factor such that risk premium dynamics are not fully captured by volatility state variables.

Beast on Wall Street

Beast on Wall Street PDF Author: Robert A. Haugen
Publisher: Pearson
ISBN:
Category : Actions (Titres de société)
Languages : en
Pages : 166

Book Description
It is now abundantly clear that stock volatility is a contagious disease that spreads virulently from market to market around the world. Price changes in one market drive subsequent price changes in that market as well as in others. In Beast, Haugen makes a compelling case for the fact that even under normal conditions, fully 80 percent of stock volatility is price driven. Moreover, this volatility is far from benign. It acts to reduce the level of investment spending and constitutes a significant and permanent drag on economic growth. Price-driven volatility is unstable. Dramatic and unpredictable explosions in price-driven volatility can send stock markets in a downward spiral and cause significant disruptions in economic activity. Haugen argues that this indeed happened in 1929 and 1930. If volatility in Asian markets persists, it can easily become the source of the problem rather than merely a symptom.

Volatility

Volatility PDF Author: Robert A. Schwartz
Publisher: Springer Science & Business Media
ISBN: 1441914749
Category : Business & Economics
Languages : en
Pages : 152

Book Description
Volatility is very much with us in today's equity markets. Day-to-day price swings are often large and intra-day volatility elevated, especially at market openings and closings. What explains this? What does this say about the quality of our markets? Can short-period volatility be controlled by better market design and a more effective use of electronic technology? Featuring insights from an international array of prominent academics, financial markets experts, policymakers and journalists, the book addresses these and other questions concerning this timely topic. In so doing, we seek deeper knowledge of the dynamic process of price formation, and of the market structure and regulatory environment within which our markets function. The Zicklin School of Business Financial Markets Series presents the insights emerging from a sequence of conferences hosted by the Zicklin School at Baruch College for industry professionals, regulators, and scholars. Much more than historical documents, the transcripts from the conferences are edited for clarity, perspective and context; material and comments from subsequent interviews with the panelists and speakers are integrated for a complete thematic presentation. Each book is focused on a well delineated topic, but all deliver broader insights into the quality and efficiency of the U.S. equity markets and the dynamic forces changing them.

The Statistical Mechanics of Financial Markets

The Statistical Mechanics of Financial Markets PDF Author: Johannes Voit
Publisher: Springer Science & Business Media
ISBN: 3662044234
Category : Science
Languages : en
Pages : 227

Book Description
A careful examination of the interaction between physics and finance. It takes a look at the 100-year-long history of co-operation between the two fields and goes on to provide new research results on capital markets - taken from the field of statistical physics. The random walk model, well known in physics, is one good example of where the two disciplines meet. In the world of finance it is the basic model upon which the Black-Scholes theory of option pricing and hedging has been built. The underlying assumptions are discussed using empirical financial data and analogies to physical models such as fluid flows, turbulence, or superdiffusion. On this basis, new theories of derivative pricing and risk control can be formulated.