The Impact of the Federal Reserve's Interest Rate Target Announcement on Stock Prices: A Closer Look at how the Market Impounds New Information

2010 ◽  
Author(s):  
Justin Birru ◽  
Stephen Figlewski
Keyword(s):  
Interest Rate ◽  
Stock Prices ◽  
New Information ◽  
The Impact

scholarly journals Impacto dos Ratings de crédito nas ações de empresas de capital aberto no Brasil

2017 ◽  
Vol 16 (2) ◽  
pp. 573-602
Author(s):  
Rafaela Augusta Cunha Silveira ◽  
Renata Turola Takamatsu ◽  
Bruna Camargos Avelino
Keyword(s):  
Stock Prices ◽  
Credit Rating ◽  
Stock Exchange ◽  
Abnormal Returns ◽  
Final Analysis ◽  
Share Prices ◽  
New Information ◽  
Agency Issues ◽  
Study Methodology ◽  
The Impact

Resumo O rating de crédito expressa uma opinião, por intermédio de escalas, sobre a qualidade do crédito de empresas, utilizado-a como medida de avaliação de risco no mercado. Agências de classificação de risco de crédito, como a Moody’s, divulgam os ratings que atribuem às empresas. Primeiramente, essas agências emitem o new rating, que representa o primeiro rating da companhia, e, posteriormente, essa emissão pode apresentar variações, denominadas upgrades e downgrades, relativas a boas e más notícias, respectivamente. Além disso, os ratings podem ser colocados em uma Watchlist quando, em breve, pode haver uma mudança do rating para downgrade ou para upgrade. O objetivo com este estudo consistiu, diante do que foi tratado, em abordar o impacto do rating de crédito sobre os preços das ações de empresas listadas na bolsa de valores brasileira. Para alcançar o objetivo proposto, foi analisada uma amostra de 44 empresas comercializadas na BM&FBovespa e 65 ratings nacionais de longo prazo emitidos pela Moody’s entre 2000 e 2015. Utilizou-se a metodologia de estudo de eventos, com os retornos normais calculados pelo modelo de retornos ajustados ao risco e ao mercado, e o Teste-F e o Teste-T para verificar a significância dos resultados. As análises finais evidenciaram que os preços das ações não são afetados de forma significativa pelas divulgações dos new ratings, downgrades, upgrades, on watch – possible downgrades e on watch – possible upgrades em nenhuma janela do evento, indicando que os ratings, para a amostra analisada, não trazem novas informações ao mercado.Palavras-chave: Ações. Rating. Estudo de eventos. Retornos anormais. Abstract Credit ratings are used as a mean to investors get new information on the companies by reducing the information asymmetry in the market. Thus, the rating is an important mean of business information with investors, enabling share prices relating to companies react to it. Branches of credit rating as Moody's, disclose the ratings they assign to companies. First, the agency issues the new rating, which represents the company's first rating, then this issue may vary, upgrades and downgrades calls relating to good and bad news respectively. In addition, the ratings could be placed in a Watchlist when, soon there may be a change to the rating downgrade or upgrade. The purpose of this study was to discuss the impact that the credit rating has on stock prices of companies listed on the Brazilian stock exchange. For a sample of 44 companies traded on BM&FBovespa and 65 long-term national ratings issued by Moody's between 2000 and 2015, we used the event study methodology, with normal returns calculated by the model of returns adjusted for risk and market the F-Test and T-Test to test the significance of the results. The final analysis showed that stock prices are not significantly affected by the disclosures of new ratings, downgrades, upgrades, on watch – possible downgrades and on watch – possible upgrades in any event window, indicating that the ratings do not bring new information to the market.Keywords: Stocks. Rating. Event studies. Abnormal returns.

scholarly journals Do Company Related Newspaper Articles Have an Impact on the Share Prices? The Case of the German Market

2019 ◽  
Vol 11 (3) ◽  
pp. 32
Author(s):  
Jyoti Gupta ◽  
Benjamin Graubner
Keyword(s):  
Stock Prices ◽  
Data Set ◽  
German Market ◽  
Share Prices ◽  
Thomson Reuters ◽  
New Information ◽  
Java Program ◽  
Using Data ◽  
The Impact ◽  
Newspaper Articles

The paper looks at the impact of information on stock prices within the context of the German Market. Using data set from the Thomson Reuters, a new platform using a self-written Java Program, between the time period of 27 August and 29 September 2013, we analysed the impact of information on stock prices in the German Market. We developed an Information Based Return Model (IBRM) to analyse how information drive stock prices. We counted certain words within newspaper articles to understand their meaning. We analyse the impact of those word-clusters on different trading intervals. Our Information Based return Model shows that stock prices anticipate news from the non-trading time within the first minute of trading. We also analysed the time drifts between news release and personal reception. Our results show that the German Market anticipates new information as effectively as the US Market. 

scholarly journals The Impact of Stock Prices on Consumption and Interest Rate in Turkey: Evidence from a Time Varying Vector Autoregressive Model

2014 ◽  
Author(s):  
Evrim Tören
Keyword(s):  
Interest Rate ◽  
Stochastic Volatility ◽  
Open Economy ◽  
Stock Prices ◽  
Autoregressive Model ◽  
Time Varying ◽  
Vector Autoregressive Model ◽  
Macroeconomic Dynamics ◽  
Vector Autoregressive ◽  
The Impact

This paper aims to examine the spillovers from stock prices onto consumption and interest rate for Turkey by using a time-varying vector autoregressive model with stochastic volatility. A three-variable time-varying vector autoregressive model is estimated to capture the time-varying nature of the macroeconomic dynamics in the Turkish economy between real consumption, nominal interest rate and real stock prices. In order to obtain the macroeconomic dynamics in a small open economy, the data covers the period 1987:Q1 until 2013:Q3 in Turkey. The sample data is gathered from the official website of Central Bank of the Republic of Turkey. Overall, this study provides the evidence of significant time-varying spillovers on consumption and interest rate coming from the stock market during financial crises and implications of monetary policy in Turkey. In addition, a time-varying vector autoregressive model with stochastic volatility offers remarkable results about the impact of price shock on consumption levels in Turkey.

scholarly journals The Effects of Money Supply and Interest Rates on Stock Prices, Evidence from Two Behavioral Experiments

2021 ◽  
Vol 8 (2) ◽  
pp. 33
Author(s):  
Christian A. Conrad
Keyword(s):  
Monetary Policy ◽  
Interest Rate ◽  
Stock Market ◽  
Interest Rates ◽  
Money Supply ◽  
Stock Prices ◽  
Positive Impact ◽  
Real Economy ◽  
Behavioral Experiments ◽  
The Impact

What is the impact of interest rate and monetary policy on the stock market? Some studies find a positive impact of expansive monetary policy on stock prices others prove the opposite. This paper examines the effects of monetary expansion and interest rate changes on investment behavior on the stock market by illustrating two behavioral experiments with students. In our experiments the increase of money supply and the decrease of interest rates had a direct positive impact on share prices. These findings support the hypothesis that extreme expansive monetary policy with low, zero or negative interest rates encourage financial bubbles on the stock market. To avoid a crash the exit from such a policy must be slow. As happened in 1929, crashes can damage the financial system and the real economy. Central banks must take this into account in their monetary policy.

scholarly journals Analyst Downgrades, Short Sale Constraints, And Intra-Day Stock Price Efficiency

2015 ◽  
Vol 31 (4) ◽  
pp. 1343
Author(s):  
Kevin Zhao
Keyword(s):  
Stock Prices ◽  
Stock Price ◽  
Price Efficiency ◽  
Price Response ◽  
Short Sale Constraints ◽  
Short Sale ◽  
New Information ◽  
After Hours ◽  
And Control ◽  
The Impact

This paper studies the impact of short sale constraints on stock price efficiency upon arrival of analyst downgrades. Examining the speed of which stock price response to analyst downgrades for pilot (short sale non-constrained) stocks and control (short sale constrained) stocks in an intra-day setting, I find evidence supporting the hypothesis that short sale constrains hamper intra-day stock price efficiency. For after-hours downgrades, pilot stocks respond quickly, with virtually all of the price response incorporated by the following open, while control stocks take an extra five minutes after opening to fully reflect the new information. For during-hour downgrades, the negative information is partially incorporated into pilot stock prices up to two hours before the recommendation is released, while control stocks take up to an hour and a half after the release to impound the information into stock price, confirming that short sale constraints lower stock price efficiency.

scholarly journals Impact of Macro - Economic Factors on Indian Stock Market- A Research of BSE Sectoral Indices

2019 ◽  
Vol 8 (2S7) ◽  
pp. 597-602
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Stock Market ◽  
Crude Oil ◽  
Stock Prices ◽  
Gold Price ◽  
Oil Price ◽  
Economic Factors ◽  
Crude Oil Price ◽  
The Impact

Macro-Economic factors plays a major role in decision making. Evaluation of macroeconomic environment is required to examine the behaviour of stock prices, which further influences the investor’s investment behaviour. Even though some macro-economic factors are not directly related to the company or industry, but those factors has an impact on stock prices, further economic activity in the domestic and global level has its own impact on stock market. When economy of the country grows hastily, it leads to faster growth in the industry and vice versa. Financial market plays a central role in the performance of financial system of an economy. Stock market is a market where securities of listed companies are exchanged between different investors, it is very responsive market which, gives a stage to investors to invest their money in various securities. Market indices are the tools to measure the performance of various securities of stock market and Investors make use of those market indices to analyse performance of those industries in which, they prefer to invest. This study takes into account six macro-economic factors (Crude oil Price, Gold Price, Silver Price, Exchange Rate, Inflation and Interest Rate) to study & analyse the impact of these variables on selected sectoral indices at BSE, SENSEX, S&P BSE BANKEX, S&P BSE Oil and Gas, S&P BSE Capital Goods, S&P BSE Consumer Durables, S&P BSE Reality, S&P BSE PSU and S&P BSE Power. The study shows that gold price, exchange rate, consumer price index and interest rate are positively correlated with four indices but crude oil price and silver price have positively correlated with 3 indices. So from the result it is clear that investor need to take of all the variables for their investment decision and the investment banker also take care of these indicators before giving suggestion to their clients

scholarly journals Macro-Economic Variables and Stock Prices: Empirical Evidence From Sri Lanka

2019 ◽  
Vol 9 (4) ◽  
pp. 148
Author(s):  
S. Anandasayanan
Keyword(s):  
Interest Rate ◽  
Sri Lanka ◽  
Stock Market ◽  
Unemployment Rate ◽  
Stock Prices ◽  
Emerging Market ◽  
Series Data ◽  
Economic Variables ◽  
Macroeconomic Variables ◽  
The Impact

Economic strength in a country could be measured by macroeconomics variables. Inflation, interest rate, unemployment rate and GDP Deflator are some macroeconomics variables that show economic condition in Sri Lanka. The impact of macro-economic variables on share prices is uncontrollable. This study investigates the relationship between macroeconomic variables and stock prices in Sri Lankan stock market using yearly time series data for the period from 1990 to 2017. The Ordinary Least Square regression was carried out using four macroeconomic variables for stock prices. The results shows that the higher R Square value (72.4911) which justifies higher explanatory power of macroeconomic variables in explaining stock prices. Consistent with similar results of the developed as well as emerging market studies, interest rate and inflation rate and unemployment rate react mainly negatively to stock prices in the Colombo Stock Exchange. These findings hold practical implications for policy makers, stock market regulators, investors and stock market analysts.

scholarly journals Evaluating the Impact of Macroeconomic Variable on Indian Stock Market

2019 ◽  
Vol 8 (6) ◽  
pp. 4427-4434
Keyword(s):  
Interest Rate ◽  
Interest Rates ◽  
Multiple Regression ◽  
Stock Prices ◽  
Share Price ◽  
Strong Impact ◽  
Causal Connection ◽  
Causality Test ◽  
Macroeconomic Factors ◽  
The Impact

The prices of shares and other financial assets have constantly had a significant influence in the improvement and advancement of financial activities, and this has turned out to be clear ever. Macroeconomic factors show the prosperity of any economic system and determine the investment future. Macroeconomic factors influence pricing in any economy. Macroeconomic vulnerability influences stock and commodity market, which altogether decides price instability. The securities exchange is a basic stage in the money related arrangement of our nation as it assumes a major role in directing shortage area investment funds to the surplus part. The research examined the impact of certain macroeconomic factors (disposable revenues, interest rates, govt. policies, inflation and exchange rates) on the results of securities market performance in the National and Bombay stock exchanges. Thusly, the causal connection between the securities exchanges returns and chose macroeconomic factors in the NSE and BSE has been resolved in the investigation. The examination utilized the ADF, correlation, multiple regression and granger causality test for analyzing the association between the chose factors The study period was assessed by monthly data for 2006-2016. The findings showed that in the first difference the variables are stationary. There is a strong relationship exists between disposable income, government policies, the exchange rate and share price. This means that if these variables change, the stock prices of NSE and BSE will be affected. Furthermore, there is an unfavorable connection in the NSE and BSE between interest rate and inflation rate and share price, which means a shift in inflation and interest rate that will not have a strong impact on stock prices and will be in an adverse direction. In addition, a multiple regression that showed these variables was used to check the effect of selected macroeconomic factors on Indian stock prices. They have an influence on the NSE and BSE share prices.

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