scholarly journals Possibilities of Retrospective Monitoring and Value Loss Assessment of the Site Damaged by Continuous Stone Exploitation: Sutilija hill above Trogir, Croatia

Author(s):  
Filomena Sirovica ◽  
Lujana Paraman ◽  
Dinko Tresić Pavičić
2014 ◽  
Vol 13 (2) ◽  
pp. 471-486 ◽  
Author(s):  
Angelo Masi ◽  
Leonardo Chiauzzi ◽  
Carmelinda Samela ◽  
Luigi Tosco ◽  
Marco Vona

2015 ◽  
Vol 14 (8) ◽  
pp. 1933-1939
Author(s):  
Xianqi Zhang ◽  
Weiwei Han ◽  
Xiaofei Peng ◽  
Cundong Xu

2021 ◽  
pp. 0148558X2198991
Author(s):  
Philip K. Hong ◽  
Jaywon Lee ◽  
Sang-Hyun Park ◽  
Sukesh Patro

We decompose the total value loss around firms’ announcements of financial restatements into components arising from investors’ revisions in cash flows and discount rates. First, relative to population benchmarks, restatements represent circumstances in which the cash flow component becomes more important in explaining valuations. While we find significant contributions from both sources, with the cash flow component explaining more than 33% of the variation in stock returns surrounding restatement announcements, this component explains only 13% to 22% in comparable non-restating firms. When restatements are caused by underlying financial fraud, the discount rate impact becomes more important, explaining about 88% of return variation. On the contrary, the cash flow impact is relatively larger for firms with higher earnings persistence or restatements associated with errors. Our decomposition of the value loss helps explain returns in the post-announcement period. Firms with a higher relative discount rate impact experience a significant downward stock price drift after the initial announcement-related price decline. For firms with a higher relative cash flow impact, the evidence suggests the initial impact of the restatement announcement is more complete with no subsequent drift pattern. Our findings close gaps in the evidence on financial restatements and extend the literature on the drivers of stock price movements.


Forests ◽  
2020 ◽  
Vol 12 (1) ◽  
pp. 28
Author(s):  
Linda Čakša ◽  
Silva Šēnhofa ◽  
Guntars Šņepsts ◽  
Didzis Elferts ◽  
Līga Liepa ◽  
...  

Post-disturbance salvage logging mitigates economic loss after windthrow, and the value of salvaged timber is strongly linked to its quality and dimensions. We studied the occurrence of wind-induced damage of aspen in the hemiboreal forests of Latvia based on data from the National Forest Inventory and additional measurements. Individual tree data from three re-measurement periods were linked to follow a tree condition (live, broken, uprooted) and to link tree characteristics to a respective snag. Three linear models were developed to assess factors affecting the snapping height. An assortment outcome was calculated for undamaged and salvaged trees using the bucking algorithm, and timber value was calculated at three price levels. Wind-induced damage occurred for 3.4–3.6% of aspen trees, and among these, 45.8–46.6% were broken. The mean height of the broken trees was 27.3 ± 0.9 m, and it was significantly higher (both p < 0.01) compared to the height of undamaged and uprooted trees. The tested models indicated tree height as the main explanatory variable for relative snapping height, with higher trees having a lower point of the stem breakage. The other significant factor was the forest type group, indicating that trees growing on dry mineral soils had lower relative snapping height than trees growing on drained mineral soils. Stem breakage significantly (p < 0.001) reduced the volume of assortments, as compared to the volume of undamaged trees. Relative volume loss of sawlogs showed a logarithmic trend with a steep increase up to snapping height of 6 m, and it correlated tightly (r = 0.83, p < 0.001) with relative value loss of the total stem. Timber value loss had a strong, positive relation to tree diameter at breast height and fluctuated by 0.4% among different price levels. The mean volume reduction was 37.7% for sawlogs, 11.0% for pallet blocks, and 8.9% for technological wood.


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