The Capital Market Consequences of Earnings Volatility: A New Measure and New Evidence

2011 ◽  
Author(s):  
Robert Resutek ◽  
Dain C. Donelson
Keyword(s):  
Capital Market ◽  
Earnings Volatility ◽  
Market Consequences ◽  
New Evidence ◽  
The Capital Market

scholarly journals Disclosure Dynamics and Investor Learning

2020 ◽  
Author(s):  
Frank S. Zhou
Keyword(s):  
Capital Market ◽  
Earnings Forecast ◽  
Management Forecast ◽  
Disclosure Decisions ◽  
Forecast Data ◽  
The Mean ◽  
Investor Learning ◽  
Market Consequences ◽  
Period Model ◽  
The Capital Market

This paper examines whether investor learning about profitability (i.e., the mean of earnings distribution) leads to persistence in disclosure decisions. A repeated single-period model shows that persistent investor beliefs about profitability lead to persistent disclosure decisions. Using earnings forecast data, I structurally estimate the model and perform several counterfactual analyses. I find that, when investors are assumed to know profitability, the persistence of management forecast decisions significantly declines by 17%–27%. About 24% of firms would have disclosed differently, resulting in 3.9% net change in the amount of information (i.e., posterior variance) provided to the capital market. Collectively, the results indicate the importance of learning profitability in understanding disclosure decisions and the capital market consequences of disclosures. This paper was accepted by Shiva Rajgopal, accounting.

The Capital Market Consequences of Language Barriers in the Conference Calls of Non-U.S. Firms

2016 ◽  
Vol 91 (4) ◽  
pp. 1023-1049 ◽  
Author(s):  
François Brochet ◽  
Patricia Naranjo ◽  
Gwen Yu
Keyword(s):  
Capital Market ◽  
Trading Volume ◽  
English Language ◽  
Language Barriers ◽  
Conference Calls ◽  
Price Movement ◽  
Market Responses ◽  
English Speaking ◽  
Market Consequences ◽  
The Capital Market

ABSTRACT We examine how language barriers affect the capital market reaction to information disclosures. Using transcripts from non-U.S. firms' English-language conference calls, we find that the calls of firms in countries with greater language barriers are more likely to contain non-plain English and erroneous expressions. For non-U.S. firms that hire an English-speaking manager, we find less use of non-plain English and fewer erroneous expressions. Calls with a greater use of non-plain English and more erroneous expressions show lower intraday price movement and trading volume. The capital market responses to non-plain English and erroneous expressions are more negative when the firm is located in a non-English-speaking country and has more English-speaking analysts participating in the call. Our results highlight that, when disclosure happens verbally, language barriers between speakers and listeners affect its transparency, which, in turn, impacts the market's reaction.

The Effect of Mandatory IFRS Adoption on International Cross-Listings

2014 ◽  
Vol 90 (4) ◽  
pp. 1395-1435 ◽  
Author(s):  
Long Chen ◽  
Jeff Ng ◽  
Albert Tsang
Keyword(s):  
Capital Markets ◽  
Capital Market ◽  
Difference In Differences ◽  
Ifrs Adoption ◽  
Cross Listing ◽  
Disclosure Requirements ◽  
External Capital ◽  
Market Consequences ◽  
The Capital Market

ABSTRACT Using a comprehensive dataset of international cross-listings spanning 34 (50) home (target) countries, we examine whether mandatory IFRS adoption facilitates firms' cross-listing activities. Our results using difference-in-differences analyses show that firms that mandatorily adopt IFRS exhibit significantly higher cross-listing propensity and intensity following IFRS adoption. We also find that firms from mandatory IFRS adoption countries are more likely to cross-list their securities in countries also mandating IFRS and countries with larger and more liquid capital markets. We further find that IFRS adoption has a greater effect on mandatory IFRS adopters from countries with larger accounting differences from IFRS, lower disclosure requirements, and less access to external capital prior to IFRS adoption. Our findings are consistent with the notion that mandatory IFRS adoption facilitates firms' cross-listing activities and highlight the importance of considering the change in cross-listings when examining the capital market consequences of mandatory IFRS adoption.

Institutional Investors on the Securities Market

2003 ◽  
pp. 95-101
Author(s):  
O. Khmyz
Keyword(s):  
Financial Crisis ◽  
Capital Market ◽  
Hedge Funds ◽  
Institutional Investors ◽  
Securities Market ◽  
Main Role ◽  
Investment Funds ◽  
Investment Process ◽  
The Capital Market

Acording to the author's opinion, institutional investors (from many participants of the capital market) play the main role, especially investment funds. They supply to small-sized investors special investment services, which allow them to participate in the investment process. However excessive institutialization and increasing number of hedge-funds may lead to financial crisis.

ANALISA PREDIKSI INDEKS HARGA SAHAM GABUNGAN MENGGUNAKAN METODE ARIMA

2020 ◽  
Vol 2 (2) ◽  
pp. 454
Author(s):  
Julkifli Purnama ◽  
Ahmad Juliana
Keyword(s):  
Capital Market ◽  
Stock Price ◽  
Time Series Data ◽  
Arima Model ◽  
Secondary Data ◽  
Actual Data ◽  
Series Data ◽  
Analysis Technique ◽  
The Right ◽  
The Capital Market

Investment in the capital market every manager needs to analyze to make decisions so that the right target to produce profits in accordance with what is expected. For that, we need a way to predict the decisions that will be taken in the future. The research objective is to find the best model and forecasting of the composite stock price index (CSPI). Data analysis technique The ARIMA Model time series data from historical data is the basis for forecasting. Secondary data is the closing price of the JCI on July 16 2018 to July 16 2019 to see how accurate the forecasting is done on the actual data at that time. The results of the study that the best Arima model is Arima 2.1.2 with an R-squared value of 0.014500, Schwarz criterion 10.83497 and Akaike info criterion of 10.77973. Results of forecasting actual data are 6394,609, dynamic forecast 6387,551 selisish -7,05799, statistics forecas 6400,653 difference of 6,043909. For investors or the public can use the ARIMA method to be able to predict or predict the capital market that will occur in the next period.

FUNDAMENTALS OF CAPITAL MARKET FORMATION AND THEIR FEATURES IN THE CONDITIONS OF TAJIKISTAN

2020 ◽  
Vol 3 (8(77)) ◽  
pp. 40-43
Author(s):  
Dilrabo Ikromalievna Kasimova ◽  
Marhabo Ikromalievna Kоsimova
Keyword(s):  
Capital Market ◽  
Market Formation ◽  
Institutional Features ◽  
The Republic ◽  
The Capital Market

The article discusses the features of the capital market and the mechanism of its functioning. The institutional features of the formation of the capital market and their features in the context of Tajikistan are presented. The author revealed the main problems of the formation and development of the capital market in the Republic of Tajikistan.

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