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Impact of IFRS-16 lease standard on financial statements of transportation and storage companies: evidence from Bist

Preprint | 2023 | Yeditepe University Academic and Open Access Information System

The International Financial Reporting Standards (IFRS) have been implemented by firms around the globe to make financial information internationally consistent and comparable. The newly established international financial reporting standard (IFRS-16, "Leases") requires recognition of certain old off-balance-sheet assets and liabilities resulting from operating leases under the International Accounting Standard 17 (IAS 17). The objective of this research aims to employ financial statement items and ratios to investigate how the new leasing standard IFRS-16 affected financial statements following its first implementation in January 20 . . .19. The transportation and storage sector, which the IASB's impact analysis identifies as one of the industries that would be impacted the most has been looked into in this context. This study covers firms included in the transportation and storage sector that are traded in BIST (Borsa İstanbul) as of 2020 Daha fazlası Daha az

Forecasting realized volatility of BIST indices with har-type models

Tüysüz, Şükriye

Preprint | 2023 | Yeditepe University Academic and Open Access Information System

In this paper, realized volatility of a selection of BIST Indices are forecasted with Heterogeneous Autoregressive Model (HAR) and its variations. For this purpose, ticks between 2001 and 2021 are used to generate 5-minute returns, which formed the basis for calculations of realized volatility and other realized measures. In the study, rolling windows are utilized for forecasting the volatility of one day ahead. These predictions are then compared to the actual realized volatilities. The study provides a thorough comparison of HAR-type models, and emphasizes the importance of underlying time series’ characteristics in forecasting. M . . .oreover, the findings of this paper also hint at matters of diversification particular to index volatility forecasting. In overall, HAR Models proved to be a successful estimator for Turkish Stock Exchange time series Daha fazlası Daha az

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