The DNA sequencing technologies in use today produce either highly accurate short reads or lessaccurate long reads. We report the optimization of circular consensus sequencing (CCS) to improve the accuracy of single-molecule real-time (SMRT) sequencing (PacBio) and generate highly accurate (99.8%) long high-fidelity (HiFi) reads with an average length of 13.5 kilobases (kb). We applied our approach to sequence the well-characterized human HG002/NA24385 genome and obtained precision and recall rates of at least 99.91% for single-nucleotide variants (SNVs), 95.98% for insertions and deletions <50 bp (indels) and 95.99% for structural variants. Our CCS method matches or exceeds the ability of short-read sequencing to detect small variants and structural variants. We estimate that 2,434 discordances are correctable mistakes in the 'genome in a bottle' (GIAB) benchmark set. Nearly all (99.64%) variants can be phased into haplotypes, further improving variant detection. De novo genome assembly using CCS reads alone produced a contiguous and accurate genome with a contig N50 of >15 megabases (Mb) and concordance of 99.997%, substantially outperforming assembly with less-accurate long reads.
We explore the history of mergers and acquisitions made by individual CEOs. Our study has three main findings: (1) CEOs' first deals exhibit zero announcement effects while their subsequent deals exhibit negative announcement effects; (2) while acquisition likelihood increases in the performance associated with previous acquisitions, previous positive performance does not curb the negative wealth effects associated with subsequent deals; and (3) CEOs' net purchase of stock is greater preceding subsequent deals than it is for first deals. We interpret these results as consistent with self-attribution bias leading to overconfidence. We also find evidence that the market anticipates future deals based on the CEO's acquisition history and impounds such anticipation into stock prices.overconfidence, hubris, self-attribution, frequent acquirer, mergers and acquisitions, insider trading
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AbstractWe study CEO compensation in the banking industry by considering banks' unique claim structure in the presence of two types of agency problems: the standard managerial agency problem and the risk-shifting problem between shareholders and debtholders. We empirically test two hypotheses derived from this framework: that the pay-for-performance sensitivity of bank CEO compensation (1) decreases with the total leverage ratio and (2) increases with the intensity of monitoring provided by regulators and nondepository (subordinated) debtholders. We construct an index of the intensity of outsider monitoring based on four variables: the subordinated debt ratio, subordinated debt rating, nonperforming loan ratio, and BOPEC rating (regulators' assessment of a bank's overall health and financial condition). We find supporting evidence for both hypotheses. Our results hold after controlling for the endogeneity among compensation, leverage, and monitoring; they are robust to various regression specifications and sample criteria.
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