To Guide Or Not to Guide? Causes and Consequences of Stopping Quarterly Earnings Guidance

In recent years, quarterly earnings guidance has been harshly criticized for inducing managerial short-termism and other ills. Managers are, therefore, urged by influential institutions to cease guidance. We examine empirically the causes of such guidance cessation and find that poor operating performance¿decreased earnings, missing analyst forecasts, and lower anticipated profitability¿is the major reason firms stop quarterly guidance. After guidance cessation, we do not find an appreciable increase in long-term investment once managers free themselves from investors' myopia. Contrary to the claim that firms would provide more alternative, forward-looking disclosures in lieu of the guidance, we find that such disclosures are curtailed. We also find a deterioration in the information environment of guidance stoppers in the form of increased analyst forecast errors and forecast dispersion and a decrease in analyst coverage. Taken together, our evidence indicates that guidance stoppers are primarily troubled firms and stopping guidance does not benefit either the stoppers or their investors

The underground economy: a troubling issue for policymakers

Informal sector (Economics) ; Taxation ; Gross national product

Dasar-dasar Manajemen Keuangan Buku 1 -11/E.

DASAR – DASAR MANAJEMEN KEUANGAN- BUKU 1 EDISI 11 Buku ini dimaksudkan untuk digunakan dalam mata kuliah pengantar ilmu keuangan. Bab - bab uatama dapat dibahas dalam mata kuliah satu semester. Namun, jika ditambahkan dengan kasus dan mungkin beberapa materi bacaan pendukung lainya, buku ini juga dapat digunakan untuk mata kuliah dua semester. Jika dibahas dalam satu semester, pengajar biasanya memilih beberapa bab tertentu, dan membiarkan mahasiswa untuk membaca sendiri bab – bab lainyan atau menggunakanya sebagai bahan referensi mata kuliah berikutnya dan setelah kelulusan. Buku ini ditulis dalam format yang fleksibel dan modular sehingga membantu pengajar membahas materi sesuai dengan urutan yang mereka inginkan. Materi yang dibahas dalam buku ini mencakup: Bagian 1 Pengenalan Manajemen Keuangan Bab 1 Tinjauan atas manajemen Keuangan Bagian 2 Konsep – konsep Dasar dalam Mamajemen Keuangan Bab 2 nilai waktu dari uang Bab 3 Laporan keuangan, Arus Kas, dan perpajakan Bab 4 Analisis laporan keuangan Bab 5 Pasar dan Institusi Keuangan Bagian 3 Aset - aset Keuangan Bab 6 Tingkat bunga Bab 7 Obligasi dan Valuasinya Bab 8 Risiko dan tingkat pengembalian Bab 9 Saham dan Evaluasiny

Dasar-dasar Manajemen Keuangan Buku 2 -11/E.

DASAR – DASAR MANAJEMEN KEUANGAN - BUKU 2 EDISI 11 Buku ini dimaksudkan untuk digunakan dalam mata kuliah pengantar ilmu keuangan. Bab - bab uatama dapat dibahas dalam mata kuliah satu semester. Namun, jika ditambahkan dengan kasus dan mungkin beberapa materi bacaan pendukung lainya, buku ini juga dapat digunakan untuk mata kuliah dua semester. Jika dibahas dalam satu semester, pengajar biasanya memilih beberapa bab tertentu, dan membiarkan mahasiswa untuk membaca sendiri bab – bab lainyan atau menggunakanya sebagai bahan referensi mata kuliah berikutnya dan setelah kelulusan. Buku ini ditulis dalam format yang fleksibel dan modular sehingga membantu pengajar membahas materi sesuai dengan urutan yang mereka inginkan. Materi yang dibahas dalam buku ini mencakup: Bagian 4 penganggaran Modal Bab 10 Biaya Modal Bab 11 dasar – dasar Penganggaran Modal Bab 12 Estimasi Arus Kas dan Analisis Risiko Bab 13 Opsi Riil dan Topik Lainya dalam Penganggaran Modal Bagian 5 Struktur Modal dan Kebijakan Dividen Bab 14 Struktural Modal dan Leverage Bab 15 Distribusi kepada pemengang saham Bagian 6 Modal Kerja dan Perencanaan keuangan Bab 16 Manajemen Modal Kerja Bab 17 Perencanaan dan Peramalan Keuangan Bagian 7 Topik - topik khusus dalam manajemen Keuangan Bab 18 Derivatif dan Manajemen Risik

Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images

Beyond sample curation and basic pathologic characterization, the digitized H&E-stained images of TCGA samples remain underutilized. To highlight this resource, we present mappings of tumorinfiltrating lymphocytes (TILs) based on H&E images from 13 TCGA tumor types. These TIL maps are derived through computational staining using a convolutional neural network trained to classify patches of images. Affinity propagation revealed local spatial structure in TIL patterns and correlation with overall survival. TIL map structural patterns were grouped using standard histopathological parameters. These patterns are enriched in particular T cell subpopulations derived from molecular measures. TIL densities and spatial structure were differentially enriched among tumor types, immune subtypes, and tumor molecular subtypes, implying that spatial infiltrate state could reflect particular tumor cell aberration states. Obtaining spatial lymphocytic patterns linked to the rich genomic characterization of TCGA samples demonstrates one use for the TCGA image archives with insights into the tumor-immune microenvironment

Pan-Cancer Analysis of lncRNA Regulation Supports Their Targeting of Cancer Genes in Each Tumor Context

Long noncoding RNAs (lncRNAs) are commonly dys-regulated in tumors, but only a handful are known toplay pathophysiological roles in cancer. We inferredlncRNAs that dysregulate cancer pathways, onco-genes, and tumor suppressors (cancer genes) bymodeling their effects on the activity of transcriptionfactors, RNA-binding proteins, and microRNAs in5,185 TCGA tumors and 1,019 ENCODE assays.Our predictions included hundreds of candidateonco- and tumor-suppressor lncRNAs (cancerlncRNAs) whose somatic alterations account for thedysregulation of dozens of cancer genes and path-ways in each of 14 tumor contexts. To demonstrateproof of concept, we showed that perturbations tar-geting OIP5-AS1 (an inferred tumor suppressor) andTUG1 and WT1-AS (inferred onco-lncRNAs) dysre-gulated cancer genes and altered proliferation ofbreast and gynecologic cancer cells. Our analysis in-dicates that, although most lncRNAs are dysregu-lated in a tumor-specific manner, some, includingOIP5-AS1, TUG1, NEAT1, MEG3, and TSIX, synergis-tically dysregulate cancer pathways in multiple tumorcontexts