Kartellrechtliche Leniency Programmes und Ad-hoc-Publizität nach MAR

2021 ◽  
Author(s):  
Konrad Roth
Keyword(s):  
Capital Market ◽  
Ad Hoc ◽  
Initial Problem ◽  
Critical Examination ◽  
Eu Law ◽  
Insider Information ◽  
Leniency Programme ◽  
The Capital Market

Antitrust leniency programmes expect applicants to not disclose the fact of cooperating with the authorities. This may cause problems for companies if, as issuers on the capital market, they are obliged to publish insider information as soon as possible (Art. 17 MAR). Ultimately offering a solution to the initial problem based on the findings, the thesis provides a profound analysis of two areas of law which are relevant in practice and are deeply rooted in EU law. A thorough and critical examination is carried out considering numerous aspects of the obligation of disclosure as well as of the newly created German statutory leniency programme (§§ 81h ff. GWB), which implements the “ECN”-Directive and replaces the previous “Bonusregelung”.

scholarly journals Market Manipulation According to the Capital Market Law

2021 ◽  
Author(s):  
Soner Hamza Çetin
Keyword(s):  
Capital Markets ◽  
Capital Market ◽  
Criminal Code ◽  
Market Manipulation ◽  
Insider Information ◽  
The Law ◽  
Negative Impacts ◽  
The Capital Market

The behavior (manipulation) for prompting selling or buying a capital market instrument or increasing or decreasing the value of capital market instrument artificially by deceiving the investors in the capital market sprincipally deteriorate the trust and stability of the capital market and damages the rights of the investors. Besides, such behavior upsets the transparency of the market and causes that the trust that should be in the market is breached. Such behavior called as manipulation in the capital markets are arranged under the name “market manipulation” in the article 107 of the Capital Market Law (SPKn) no: 6362. Because of the negative impacts on the market, having an arrangement as a crime separate from the fraud provisions included in the criminal code is principally a statement of a necessity. Market manipulation is subjected to a dual distinction as committed based on insider information and committed based on transaction. Article 107/1 regulates the market manipulation based on trade and Article 107/2 of SPKn the market manipulation based on information. Even though the same imprisonment is anticipated in the law for both market manipulation, for the market manipulation based on trade, a special remorse circumstance is included in the Article 107/3 and a special compliance with the laws reasons in the Article 108.

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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