6,856 research outputs found

    Solicited and Unsolicited Credit Ratings: A Global Perspective

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    We conducted a global study of the long-term issuer ratings of nonfinancial firms from Standard and Poor's Ratings Services (S&P) for the period 1998–2003. Specifically, we focused on the solicited versus unsolicited ratings and sample-selection bias in the analysis. Unlike the literature, we adopted an improved method using Wooldridge’s instrumental-variable approach to mitigate the concern of specification errors in Heckman’s model. We found that the probability of seeking a long-term issuer rating is positively related to the size and profitability of the firm, and negatively related to the growth opportunities and debt levels of the firm. The credit rating is positively related to the sovereign rating, size, and profitability of the issuer, and negatively related to the debt ratio of the issuer. Consistent with the literature, we found sample-selection bias in credit ratings. Our findings suggest that the firms with solicited ratings seem to be more profitable, more liquid, and have lower leverage than the issuers with unsolicited ratings. After controlling for sample-selection bias and some key financial ratios, we found that unsolicited firms, on average, seem to have lower long-term issuer ratings.corporate long-term issuer ratings; solicited and unsolicited

    Polydispersity Effects in Colloid-Polymer Mixtures

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    We study phase separation and transient gelation in a mixture consisting of polydisperse colloids and non-adsorbing polymers, where the ratio of the average size of the polymer to that of the colloid is approximately 0.063. Unlike what has been reported previously for mixtures with somewhat lower colloid polydispersity, the addition of polymers does not expand the fluid-solid coexistence region. Instead, we find a region of fluid-solid coexistence which has an approximately constant width but an unexpected re-entrant shape. We detect the presence of a metastable gas-liquid binodal, which gives rise to two-stepped crystallization kinetics that can be rationalized as the effect of fractionation. Finally, we find that the separation into multiple coexisting solid phases at high colloid volume fractions predicted by equilibrium statistical mechanics is kinetically suppressed before the system reaches dynamical arrest.Comment: 11 pages, 5 figure

    Formation of long-lived, scarlike modes near avoided resonance crossings in optical microcavities

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    We study the formation of long-lived states near avoided resonance crossings in open systems. For three different optical microcavities (rectangle, ellipse, and semi-stadium) we provide numerical evidence that these states are localized along periodic rays, resembling scarred states in closed systems. Our results shed light on the morphology of long-lived states in open mesoscopic systems.Comment: 4 pages, 5 figures (in reduced quality), to appear in Phys. Rev. Let

    Cyclin F Is Degraded during G2-M by Mechanisms Fundamentally Different from Other Cyclins

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    Cyclin F, a cyclin that can form SCF complexes and bind to cyclin B, oscillates in the cell cycle with a pattern similar to cyclin A and cyclin B. Ectopic expression of cyclin F arrests the cell cycle in G2/M. How the level of cyclin F is regulated during the cell cycle is completely obscure. Here we show that, similar to cyclin A, cyclin F is degraded when the spindle assembly checkpoint is activated and accumulates when the DNA damage checkpoint is activated. Cyclin F is a very unstable protein throughout much of the cell cycle. Unlike other cyclins, degradation of cyclin F is independent of ubiquitination and proteasome-mediated pathways. Interestingly, proteolysis of cyclin F is likely to involve metalloproteases. Rapid destruction of cyclin F does not require the N-terminal F-box motif but requires the COOH-terminal PEST sequences. The PEST region alone is sufficient to interfere with the degradation of cyclin F and confer instability when fused to cyclin A. These data show that although cyclin F is degraded at similar time as the mitotic cyclins, the underlying mechanisms are entirely distinct

    Enhancing partition testing through output variation

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    A major test case generation approach is to divide the input domain into disjoint partitions, from which test cases can be selected. However, we observe that in some traditional approaches to partition testing, the same partition may be associated with different output scenarios. Such an observation implies that the partitioning of the input domain may not be precise enough for effective software fault detection. To solve this problem, partition testing should be fine-tuned to additionally use the information of output scenarios in test case generation, such that these test cases are more fine-grained not only with respect to the input partitions but also from the perspective of output scenarios

    Radio Astronomy

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    Contains reports on one research project.National Aeronautics and Space Administration (Contract NAS5-21980

    Higher rank numerical ranges of normal matrices

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    The higher rank numerical range is closely connected to the construction of quantum error correction code for a noisy quantum channel. It is known that if a normal matrix AMnA \in M_n has eigenvalues a1,.˙.,ana_1, \..., a_n, then its higher rank numerical range Λk(A)\Lambda_k(A) is the intersection of convex polygons with vertices aj1,.˙.,ajnk+1a_{j_1}, \..., a_{j_{n-k+1}}, where 1j1<.˙.<jnk+1n1 \le j_1 < \... < j_{n-k+1} \le n. In this paper, it is shown that the higher rank numerical range of a normal matrix with mm distinct eigenvalues can be written as the intersection of no more than max{m,4}\max\{m,4\} closed half planes. In addition, given a convex polygon P{\mathcal P} a construction is given for a normal matrix AMnA \in M_n with minimum nn such that Λk(A)=P\Lambda_k(A) = {\mathcal P}. In particular, if P{\mathcal P} has pp vertices, with p3p \ge 3, there is a normal matrix AMnA \in M_n with nmax{p+k1,2k+2}n \le \max\left\{p+k-1, 2k+2 \right\} such that Λk(A)=P\Lambda_k(A) = {\mathcal P}.Comment: 12 pages, 9 figures, to appear in SIAM Journal on Matrix Analysis and Application
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