Download or read book Pre announcement Effects News and Volatility written by and published by . This book was released on 2000 with total page 38 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Pre announcement Effects News and Volatility Monetary Policy and the Stock Markt written by Antulio N. Bomfim and published by . This book was released on 2000 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book News Announcements Market Activity and Volatility in the Euro Dollar Foreign Exchange Market written by Luc Bauwens and published by . This book was released on 2006 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper deals with the impact of nine categories of scheduled and unscheduled news announcements on the Euro/Dollar return volatility. We highlight and analyze the pre-announcement, contemporaneous and post-announcement reactions. Using high-frequency intraday data and within the framework of ARCH-type and realized volatility models, we show that volatility increases in the pre-announcement periods, particularly before scheduled events. Market activity also significantly impacts return volatility as expected by the theoretical literature on order flow.

Download or read book Essays on the Effects of FOMC Announcement written by Guanzhong Pan and published by . This book was released on 2019 with total page 90 pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation consists of two essays. Essay 1 proposes a rational expectations equilibrium model for pre-scheduled economic announcements to examine the effect of information uncertainty and liquidity trading on the pre-announcement premium. The model predicts that pre-announcement premium is positively related to information uncertainty of the upcoming announcements. Liquidity traders withdraw their trading when the information uncertainty is high, which leads informed investors to trade less aggressively. As a result, the price is less informative, which elevates pre-announcement premium. We use Volatility Index (VIX) as a proxy of information uncertainty and show that empirical results are mostly consistent with model predictions. Essay 2 investigates options trading activity prior to Federal Open Market Committee (FOMC) announcements. We find informed traders use option to speculate on their private information. Specifically, abnormal trading volume of call option on S&P500 index three to two trading days prior to the FOMC announcement positively predicts post-announcement index return, and this predictability mainly comes from near-the-money call option and from buyer-initiated call option trading when we further breakdown trading volume based on the direction of trade. We find no evidence of investors using options to hedge post-FOMC announcement market risk.

Download or read book Macroeconomic Announcements and Volatility of Treasury Futures written by Li Li and published by . This book was released on 2008 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Utilizing open-close returns, close-close returns and volume data, we examine the reaction of the Treasury futures market to the periodically scheduled announcements of prominent U.S. macroeconomic data. Heterogeneous persistence from scheduled news vs. non-scheduled news is revealed. Strong asymmetric effects of scheduled announcements are presented: positive shocks depress volatility on consecutive days, while negative shocks increase volatility. Announcement-day shocks have small persistence, but great impacts on volatility in the short run. Investigation into volume data shows that announcement-day volume has lower persistence than non-announcement-day volume. No statistically significant risk premium manifests on the release dates. Compared with the implied volatility and realized volatility data, we find our model successful in forming both in-sample and out-of-sample multi-step forecasts. Distinctions are made and tested among microstructure theories that differ in predictions of the impact of scheduled macroeconomic news on volatility and volatility persistence. Asymmetric effects between positive and negative shocks from scheduled news call for further exploration of microstructure theory.

Download or read book Do Macroeconomic Announcements Cause Asymmetric Volatility written by Peter De Goeij and published by . This book was released on 2003 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Do Macroeconomic Announcements Cause Asymetric Volatility written by Peter de Goeij and published by . This book was released on 2012 with total page 46 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this paper we study the impact of macroeconomic news announcements on the conditional volatility of stock and bond returns. Using daily returns on the Samp;P 500 index, the NASDAQ index, and the 1 and 10 year U.S. Treasury bonds, for January 1982 - August 2001, some interesting results emerge. Announcement shocks appear to have a strong impact on the (dynamics of) bond and stock market volatility. Our results provide empirical evidence thatasymmetric volatility in the Treasury bond market can be largely explained by these macroeconomic announcement shocks. This suggests that the asymmetric volatility found in government bond markets are likely due to misspecification of the volatility model. After including macroeconomic announcements into the model, the asymmetry disappears. Becausefirm-specific news is the most important source of information in the stock market, the asymmetries in stock volatility do not disappear after incorporating macroeconomic announcements into the volatility model.

Download or read book Stock Market Returns and Volatility written by Mansour Alharaib and published by . This book was released on 2018 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: This study examines how stock market returns and volatility responses to macroeconomic news announcements in US and Europe, and oil prices. Moreover, the market risk associated with these stock markets based on selected countries and regions is also analyzed here. In all chapters, the data is in a weekly time horizon and it covers 21 countries from different contents. In particular, Data covers three different time periods, i.e. full sample from 1/1/2000 to 12/31/2015, before the financial crisis, i.e. from 1/1/2000 to 9/27/2008 and after the financial crisis, i.e. from 10/11/2008 to 12/31/2015. Chapter 2 studies the impact of macroeconomic news announcements on stock markets in 21 countries using US and European countries macroeconomic news announcements. The first part investigates the impact of macroeconomic news announcements surprises in US and European Countries on stock markets returns in these countries. The second part analyzes the impact of macroeconomic news announcements in US and European Countries on stock markets volatility in these countries. Our results show that stock markets in selected countries react differently to macroeconomic news announcement in US and Europe. Chapter 3 study the interaction and volatility spillover between oil prices and stock markets returns and volatility in selected countries and regions. Oil prices are based on West Texas Intermediate (WTI). The analysis use VAR(1)-GARCH(1,1) model to capture the interdependence between stocks market and oil prices. The findings show that there is interdependence between stock markets and oil price changes in most selected countries and regions. Chapter 4 study the market risk in stock markets returns in selected countries and regions using IGARCH(1,1) and GARCH(1,1) to obtain the value at risk (VaR) and the expected shortfall (ES). The findings of chapter 4 show that market risk was high for most selected countries before the financial crisis and low after the financial crisis.

Download or read book Market Reaction to News and Investor Attention in Real Time written by Deniz Erdemlioglu and published by . This book was released on 2017 with total page 50 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper develops a new framework to study investor attention in real time at high frequency. Using information retrieval approach, we construct a proxy for attention from the Twitter messages of financial experts, hedge funds and portfolio managers around the release of unscheduled news announcements. We then examine how markets react to new information in the absence and presence of attention. On implementing our methodology with high-frequency data for large-cap U.S. stocks, we find evidence that news events receiving attention on social media lead to large and persistent changes in trading activity, volatility and price jumps. When the attention is limited, however, the news effects on such trading patterns tend to be smaller and vanish quickly. With respect to reaction timing, we find that approximately one fourth of the news stories arrive first on Twitter before being reported by Bloomberg newswire. This result suggests that movements prior to news releases may not be explained only by private information, but could also be related to timestamp delays. We control for such potential biases by incorporating attention and correcting newswire timestamps. This adjustment considerably eliminates the pre-announcement effects in the data.

Download or read book Macroeconomic News Effects in Commodity Futures and German Stock and Bond Futures Markets written by He Huang and published by BoD – Books on Demand. This book was released on 2010 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: A well-known concept in modern capital market theory is that only systematic risk factors affect security prices. Macroeconomic announcements are among the most important news for financial markets because the state of the economy is a prime candidate for such a source of non-diversifiable risk. This book investigates the effects of US macroeconomic news on three financial markets that have received less attention in the literature so far. The markets of interest are the commodity futures market, the German stock index futures market, and the German bond futures market. I investigate not only price effects, but also liquidity effects as well as the channels of cross-border information flow. I find that commodity markets as well as international stock and bond markets are likewise affected by the release of US macroeconomic news. The strength of the commodity price response depends on the state of the economy and news about the US economy is more important for German stock markets than domestic economic news. For an investor in any of these markets, this book provides valuable information on how to adjust his trading strategies around the release of macroeconomic news. Moreover, my findings contribute to the understanding of cross-border information flow. First, I find that both domestic and foreign economic news induce significant price and liquidity effects. Second, I find that there are two important channels of information transmission for foreign news: the direct response to the news and the indirect response to the foreign response to the news.

Download or read book Modelling and forecasting stock return volatility and the term structure of interest rates written by Michiel de Pooter and published by Rozenberg Publishers. This book was released on 2007 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation consists of a collection of studies on two areas in quantitative finance: asset return volatility and the term structure of interest rates. The first part of this dissertation offers contributions to the literature on how to test for sudden changes in unconditional volatility, on modelling realized volatility and on the choice of optimal sampling frequencies for intraday returns. The emphasis in the second part of this dissertation is on the term structure of interest rates.

Download or read book Analytical Study on the Impact of Monetary Policy and Stock Market Volatility in India written by Dr. Puja Dua and published by Book Rivers. This book was released on 2023-01-10 with total page 58 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Forecasting in the Presence of Structural Breaks and Model Uncertainty written by David E. Rapach and published by Emerald Group Publishing. This book was released on 2008-02-29 with total page 691 pages. Available in PDF, EPUB and Kindle. Book excerpt: Forecasting in the presence of structural breaks and model uncertainty are active areas of research with implications for practical problems in forecasting. This book addresses forecasting variables from both Macroeconomics and Finance, and considers various methods of dealing with model instability and model uncertainty when forming forecasts.

Download or read book Understanding Credit Derivatives and Related Instruments written by Antulio N. Bomfim and published by Academic Press. This book was released on 2015-11-23 with total page 421 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understanding Credit Derivatives and Related Instruments, Second Edition is an intuitive, rigorous overview that links the practices of valuing and trading credit derivatives with academic theory. Rather than presenting highly technical explorations, the book offers summaries of major subjects and the principal perspectives associated with them. The book's centerpiece is pricing and valuation issues, especially valuation tools and their uses in credit models. Five new chapters cover practices that have become commonplace as a result of the 2008 financial crisis, including standardized premiums and upfront payments. Analyses of regulatory responses to the crisis for the credit derivatives market (Basel III, Dodd-Frank, etc.) include all the necessary statistical and mathematical background for readers to easily follow the pricing topics. Every reader familiar with mid-level mathematics who wants to understand the functioning of the derivatives markets (in both practical and academic contexts) can fully satisfy his or her interests with the comprehensive assessments in this book. Explores the role that credit derivatives played during the economic crisis, both as hedging instruments and as vehicles that potentially magnified losses for some investors Comprehensive overview of single-name and multi-name credit derivatives in terms of market specifications, pricing techniques, and regulatory treatment Updated edition uses current market statistics (market size, market participants, and uses of credit derivatives), covers the application of CDS technology to other asset classes (CMBX, ABX, etc.), and expands the treatment of individual instruments to cover index products, and more

Download or read book Long run Growth and Short run Stabilization written by The late Lawrence R. Klein and published by Edward Elgar Publishing. This book was released on 2006-02-24 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: There is much confusion in the economics literature on wage determination and the employment-inflation trade-off. Few model builders pay as much careful attention to the definition and meaning of long-run concepts as did Albert Ando. Expanding on years of painstaking work by Ando, the contributors elaborate on the main issues of economic analysis and policies that concerned him.

Download or read book Deep Learning Tools for Predicting Stock Market Movements written by Renuka Sharma and published by John Wiley & Sons. This book was released on 2024-04-10 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: DEEP LEARNING TOOLS for PREDICTING STOCK MARKET MOVEMENTS The book provides a comprehensive overview of current research and developments in the field of deep learning models for stock market forecasting in the developed and developing worlds. The book delves into the realm of deep learning and embraces the challenges, opportunities, and transformation of stock market analysis. Deep learning helps foresee market trends with increased accuracy. With advancements in deep learning, new opportunities in styles, tools, and techniques evolve and embrace data-driven insights with theories and practical applications. Learn about designing, training, and applying predictive models with rigorous attention to detail. This book offers critical thinking skills and the cultivation of discerning approaches to market analysis. The book: details the development of an ensemble model for stock market prediction, combining long short-term memory and autoregressive integrated moving average; explains the rapid expansion of quantum computing technologies in financial systems; provides an overview of deep learning techniques for forecasting stock market trends and examines their effectiveness across different time frames and market conditions; explores applications and implications of various models for causality, volatility, and co-integration in stock markets, offering insights to investors and policymakers. Audience The book has a wide audience of researchers in financial technology, financial software engineering, artificial intelligence, professional market investors, investment institutions, and asset management companies.

Download or read book Predictive Econometrics and Big Data written by Vladik Kreinovich and published by Springer. This book was released on 2017-11-30 with total page 788 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent research on predictive econometrics and big data. Gathering edited papers presented at the 11th International Conference of the Thailand Econometric Society (TES2018), held in Chiang Mai, Thailand, on January 10-12, 2018, its main focus is on predictive techniques – which directly aim at predicting economic phenomena; and big data techniques – which enable us to handle the enormous amounts of data generated by modern computers in a reasonable time. The book also discusses the applications of more traditional statistical techniques to econometric problems. Econometrics is a branch of economics that employs mathematical (especially statistical) methods to analyze economic systems, to forecast economic and financial dynamics, and to develop strategies for achieving desirable economic performance. It is therefore important to develop data processing techniques that explicitly focus on prediction. The more data we have, the better our predictions will be. As such, these techniques are essential to our ability to process huge amounts of available data.