wanyu/IteraTeR_full_sent huggingface dataset:
Original:  This paper presents a computationally efficient method of calculating IM costs for any derivative portfolio: Longstaff-Schwartz Augmented Compression , (LSAC) . Essentially, Longstaff-Schwartz is used with an augmented state space to retain accuracy for VAR-relevant changes to the state variables.
Revised:  This paper presents a computationally efficient approach to the calculation of MVA through the use of regression techniques, Longstaff-Schwartz Augmented Compression , (LSAC) . Essentially, Longstaff-Schwartz is used with an augmented state space to retain accuracy for VAR-relevant changes to the state variables.
Edit intent: meaning-changed
Original:  This paper presents a computationally efficient method of calculating IM costs for any derivative portfolio: Longstaff-Schwartz Augmented Compression , (LSAC) . Essentially, Longstaff-Schwartz is used with an augmented state space to retain accuracy for VAR-relevant changes to the state variables.
Revised:  This paper presents a computationally efficient method of calculating IM costs for any derivative portfolio: Longstaff-Schwartz Augmented Compression (LSAC) . Essentially, Longstaff-Schwartz is used with an augmented state space to retain accuracy for VAR-relevant changes to the state variables.
Edit intent: fluency
Original:  This paper presents a computationally efficient method of calculating IM costs for any derivative portfolio: Longstaff-Schwartz Augmented Compression , (LSAC) . Essentially, Longstaff-Schwartz is used with an augmented state space to retain accuracy for VAR-relevant changes to the state variables. This method allows rapid calculation of IM costs both for portfolios, and on an incremental basis. LSAC can be applied wherever historic simulation VAR is required such as lifetime cost of market risk regulatory capital using internal models. We present example costs for IM under BCBS-261 for interest rate swap portfolios of up to 10000 swaps and 30 year maturity showing significant IM FVA costs and two orders of magnitude speedup compared to direct calculation .
Revised:  This paper presents a computationally efficient method of calculating IM costs for any derivative portfolio: Longstaff-Schwartz Augmented Compression , (LSAC) .
Edit intent: meaning-changed
Original:  This paper formalises the addition of cost of capital by extending the Burgard-Kjaer  semi-replication approach to CVA and FVA to include an addition capital term, Capital Valuation Adjustment (KVA, i.e. Kapital Valuation Adjustment to distinguish from CVA .
Revised:  This paper formalises the addition of cost of capital by extending the Burgard-Kjaer (2013) semi-replication approach to CVA and FVA to include an addition capital term, Capital Valuation Adjustment (KVA, i.e. Kapital Valuation Adjustment to distinguish from CVA .
Edit intent: meaning-changed
Original:  This paper formalises the addition of cost of capital by extending the Burgard-Kjaer  semi-replication approach to CVA and FVA to include an addition capital term, Capital Valuation Adjustment (KVA, i.e. Kapital Valuation Adjustment to distinguish from CVA . Two approaches are considered, one where the (regulatory) capital is released back to shareholders upon counterparty default and one where the capital can be used to offset losses in the event of counterparty default  .
Revised:  This paper formalises the addition of cost of capital by extending the Burgard-Kjaer semi-replication approach to CVA and FVA to include an addition capital term, Capital Valuation Adjustment (KVA, i.e. Kapital Valuation Adjustment to distinguish from CVA ). The utilization of the capital for funding purposes and to offset losses in the event of counterparty default .
Edit intent: clarity
Original:  The paper further considers the practical calculation of KVA with reference to the Basel II (BCBS-128) and Basel III (BCBS-189) Capital regimes and its implementation via CRD IV (CRD-IV-Regulation,CRD-IV-Directive) .
Revised:  The paper further considers the practical calculation of KVA with reference to the Basel II and Basel III (BCBS-189) Capital regimes and its implementation via CRD IV (CRD-IV-Regulation,CRD-IV-Directive) .
Edit intent: meaning-changed
Original:  The paper further considers the practical calculation of KVA with reference to the Basel II (BCBS-128) and Basel III (BCBS-189) Capital regimes and its implementation via CRD IV (CRD-IV-Regulation,CRD-IV-Directive) .
Revised:  The paper further considers the practical calculation of KVA with reference to the Basel II (BCBS-128) and Basel III capital regimes and their implementation via CRD IV (CRD-IV-Regulation,CRD-IV-Directive) .
Edit intent: clarity
Original:  The paper further considers the practical calculation of KVA with reference to the Basel II (BCBS-128) and Basel III (BCBS-189) Capital regimes and its implementation via CRD IV (CRD-IV-Regulation,CRD-IV-Directive) .
Revised:  The paper further considers the practical calculation of KVA with reference to the Basel II (BCBS-128) and Basel III (BCBS-189) Capital regimes and its implementation via CRD IV .
Edit intent: clarity
Original:  This paper formalises the addition of cost of capital by extending the Burgard-Kjaer (2013) semi-replication approach to CVA and FVA to include an addition capital term, Capital Valuation Adjustment (KVA, i.e. Kapital Valuation Adjustment to distinguish from CVA ).
Revised:  This paper formalises the addition of cost of capital by extending the Burgard-Kjaer (2013) semi-replication approach to CVA and FVA to include an addition capital term, Capital Valuation Adjustment (KVA, i.e. Kapital Valuation Adjustment to distinguish from CVA .)
Edit intent: fluency
Original: The classic decision-theory problem of evaluating a gamble is treated from a modern perspective using dynamics . Linear and logarithmic utility functions appear not as expressions for the value of money but as mappings that result in ergodic observables for purely additive and purely multiplicative dynamics, the most natural stochastic processes to model wealth.
Revised: Gambles are random variables that model possible changes in monetary wealth. Classic decision theory transforms money into utility through a utility function and defines the value of a gamble as the expectation value of utility changes. Utility functions aim to capture individual psychological characteristics, but their generality limits predictive power. Expectation value maximizers are defined as rational in economics, but expectation values are only meaningful in the presence of ensembles or in systems with ergodic properties, whereas decision-makers have no access to ensembles and the variables representing wealth in the usual growth models do not have the relevant ergodic properties. Simultaneously addressing the shortcomings of utility and those of expectations, we propose to evaluate gambles by averaging wealth growth over time. No utility function is needed, but a dynamic must be specified to compute time averages . Linear and logarithmic utility functions appear not as expressions for the value of money but as mappings that result in ergodic observables for purely additive and purely multiplicative dynamics, the most natural stochastic processes to model wealth.
Edit intent: meaning-changed
Original: The classic decision-theory problem of evaluating a gamble is treated from a modern perspective using dynamics . Linear and logarithmic utility functions appear not as expressions for the value of money but as mappings that result in ergodic observables for purely additive and purely multiplicative dynamics, the most natural stochastic processes to model wealth.
Revised: The classic decision-theory problem of evaluating a gamble is treated from a modern perspective using dynamics . Linear and logarithmic "utility functions" appear as transformations that generate ergodic observables for purely additive and purely multiplicative dynamics, the most natural stochastic processes to model wealth.
Edit intent: clarity
Original: The classic decision-theory problem of evaluating a gamble is treated from a modern perspective using dynamics . Linear and logarithmic utility functions appear not as expressions for the value of money but as mappings that result in ergodic observables for purely additive and purely multiplicative dynamics, the most natural stochastic processes to model wealth. This perspective is at odds with the boundedness requirement for utility functions in the dominant formalism of decision theory. We highlight conceptual and mathematical inconsistencies throughout the development of decision theory, whose correction clarifies that the modern perspective is legitimate and that boundedness of utility functionsis not required .
Revised: The classic decision-theory problem of evaluating a gamble is treated from a modern perspective using dynamics . Linear and logarithmic utility functions appear not as expressions for the value of money but as mappings that result in ergodic observables for purely additive and purely multiplicative dynamics, respectively. We highlight inconsistencies throughout the development of decision theory, whose correction clarifies that the modern perspective is legitimate and that boundedness of utility functionsis not required .
Edit intent: clarity
Original:  By Langevin dynamics simulations of regular and modified translocation models  we find that an incomplete model, where the trans side is {\it   excluded, gives rise to characteristics that are in stark contradiction with those of the complete model, for which \alpha increases with f_p.
Revised:  By Langevin dynamics simulations of regular and modified translocation models using the freely-jointed-chain polymer model we find that an incomplete model, where the trans side is {\it excluded, gives rise to characteristics that are in stark contradiction with those of the complete model, for which \alpha increases with f_p.
Edit intent: meaning-changed
Original:  By Langevin dynamics simulations of regular and modified translocation models  we find that an incomplete model, where the trans side is {\it   excluded, gives rise to characteristics that are in stark contradiction with those of the complete model, for which \alpha increases with f_p.
Revised:  By Langevin dynamics simulations of regular and modified translocation models we find that a previously reported incomplete model, where the trans side is {\it excluded, gives rise to characteristics that are in stark contradiction with those of the complete model, for which \alpha increases with f_p.
Edit intent: meaning-changed
Original:  By Langevin dynamics simulations of regular and modified translocation models  we find that an incomplete model, where the trans side is {\it   excluded, gives rise to characteristics that are in stark contradiction with those of the complete model, for which \alpha increases with f_p.
Revised:  By Langevin dynamics simulations of regular and modified translocation models we find that an incomplete model, where the {\it excluded, gives rise to characteristics that are in stark contradiction with those of the complete model, for which \alpha increases with f_p.
Edit intent: clarity
Original:  By Langevin dynamics simulations of regular and modified translocation models  we find that an incomplete model, where the trans side is {\it   excluded, gives rise to characteristics that are in stark contradiction with those of the complete model, for which \alpha increases with f_p.
Revised:  By Langevin dynamics simulations of regular and modified translocation models we find that an incomplete model, where the trans side is {\it trans excluded, gives rise to characteristics that are in stark contradiction with those of the complete model, for which \alpha increases with f_p.
Edit intent: meaning-changed
Original:  By Langevin dynamics simulations of regular and modified translocation models  we find that an incomplete model, where the trans side is {\it   excluded, gives rise to characteristics that are in stark contradiction with those of the complete model, for which \alpha increases with f_p.
Revised:  By Langevin dynamics simulations of regular and modified translocation models we find that an incomplete model, where the trans side is {\it side and fluctuations were excluded, gives rise to characteristics that are in stark contradiction with those of the complete model, for which \alpha increases with f_p.
Edit intent: meaning-changed
Original:  To illustrate the utility of the method, we predict  unknown 3D interactions between subunits of ATP synthase and find results consistent with detailed experimental data.
Revised:  To illustrate the utility of the method, we predict co-evolved contacts between 50 E. coli complexes (of unknown structure), including the unknown 3D interactions between subunits of ATP synthase and find results consistent with detailed experimental data.
Edit intent: meaning-changed
Original: High-throughput experiments in bacteria and eukaryotic cells have identified tens of thousands of interactions between proteins. This genome-wide view of the protein interaction universe is coarse-grained, whilst fine-grained detail of macro-molecular interactions critically depends on lower throughput, labor-intensive experiments. Computational approaches using measures of residue co-evolution across proteins show promise, but have been limited to specific interactions. Here we present a new generalized method showing that patterns of evolutionary sequence changes across proteins reflect residues that are close in space , with sufficient accuracy to determine the three-dimensional structure of the protein complexes.
Revised: High-throughput experiments in bacteria and eukaryotic cells have identified tens of thousands of interactions and structural biology has provided detailed functional insight for select 3D protein complexes. An alternative rich source of information about protein interactions is the evolutionary sequence record. Building on earlier work, we show that analysis of correlated evolutionary sequence changes across proteins reflect residues that are close in space , with sufficient accuracy to determine the three-dimensional structure of the protein complexes.
Edit intent: clarity
Original:  We demonstrate that the inferred evolutionary coupling scores accurately predict inter-protein residue interactions and can distinguish between interacting and non-interacting proteins.
Revised:  We evaluate prediction performance in blinded tests on 76 complexes of known 3D structure, predict protein-protein contacts in 32 complexes of unknown structure, and demonstrate how evolutionary couplings can be used to distinguish between interacting and non-interacting proteins.
Edit intent: meaning-changed
Original:  We demonstrate that the inferred evolutionary coupling scores accurately predict inter-protein residue interactions and can distinguish between interacting and non-interacting proteins. To illustrate the utility of the method, we predict co-evolved contacts between 50 E. coli complexes (of unknown structure), including the unknown 3D interactions between subunits of ATP synthase and find results consistent with detailed experimental data. We expect that the method can be generalized to genome-wide  interaction predictions at residue resolution.
Revised:  We demonstrate that the inferred evolutionary coupling scores accurately predict inter-protein residue interactions and can distinguish between interacting and non-interacting protein pairs in a large complex. With the current growth of sequence databases, we expect that the method can be generalized to genome-wide interaction predictions at residue resolution.
Edit intent: clarity
Original:  We further propose experimental measurements of quantities like the variance and the lag-1 autocorrelation function in protein fluctuations as  early signatures of an approaching bifurcation point in the cell differentiation process.
Revised:  We further propose experimental measurements of quantities like the variance and the lag-1 autocorrelation function in protein fluctuations as the early signatures of an approaching bifurcation point in the cell differentiation process.
Edit intent: fluency
Original: We argue that the classical indices of tail dependence quite often underestimate the tail dependence in copulas and thus may not always convey useful information. We illustrate this phenomenon using a number of bivariate copulas and suggest an alternative way for assessing taildependence .
Revised: We argue that the classical indices of tail dependence quite often underestimate the tail dependence in copulas and thus may not always comply with the new paradigm of prudent risk management. This phenomenon holds in the context of both symmetric and asymmetric copulas with and without singularities. As a remedy, we introduce a notion of paths of maximal (tail) dependence and utilize it to propose several new indices of tail dependence. The suggested new indices are conservative, conform with the basic concepts of modern quantitative risk management, and are able to distinguish between distinct risky positions in situations when the existing indices fail to do so .
Edit intent: meaning-changed
Original: In fat-tailed domains , sample measures of top centile contributions to the total (concentration) are biased, unstable estimators extremely sensitive to  sample size and concave in accounting for large deviations.
Revised: In domains with power law tails , sample measures of top centile contributions to the total (concentration) are biased, unstable estimators extremely sensitive to sample size and concave in accounting for large deviations.
Edit intent: meaning-changed
Original: In fat-tailed domains , sample measures of top centile contributions to the total (concentration) are biased, unstable estimators extremely sensitive to  sample size and concave in accounting for large deviations.
Revised: In fat-tailed domains , sample measures of top centile contributions to the total (concentration) are biased, unstable estimators extremely sensitive to both unit and sample size and concave in accounting for large deviations.
Edit intent: meaning-changed
Original:  They are also inconsistent under aggregation and mixing distributions, as weighted concen- tration measures for A and B will tend to be lower than that from A + B. In addition, it can be shown that under fat tails, increases in the total sum need to be accompanied by increased measurement of concentration.
Revised:  They are also inconsistent under aggregation and mixing distributions, as weighted concentration measures for A and B will tend to be lower than that from A + B. In addition, it can be shown that under fat tails, increases in the total sum need to be accompanied by increased measurement of concentration.
Edit intent: fluency
Original: In domains with power law tails, sample measures of top centile contributions to the total (concentration) are  biased, unstable estimators  extremely sensitive to both unit and sample size and concave in accounting for large deviations.
Revised: Sample measures of top centile contributions to the total (concentration) are biased, unstable estimators extremely sensitive to both unit and sample size and concave in accounting for large deviations.
Edit intent: clarity
Original: In domains with power law tails, sample measures of top centile contributions to the total (concentration) are  biased, unstable estimators  extremely sensitive to both unit and sample size and concave in accounting for large deviations.
Revised: In domains with power law tails, sample measures of top centile contributions to the total (concentration) are downward biased, unstable estimators extremely sensitive to both unit and sample size and concave in accounting for large deviations.
Edit intent: meaning-changed
Original: In domains with power law tails, sample measures of top centile contributions to the total (concentration) are  biased, unstable estimators  extremely sensitive to both unit and sample size and concave in accounting for large deviations.
Revised: In domains with power law tails, sample measures of top centile contributions to the total (concentration) are biased, unstable estimators , extremely sensitive to both unit and sample size and concave in accounting for large deviations.
Edit intent: fluency
Original: In domains with power law tails, sample measures of top centile contributions to the total (concentration) are  biased, unstable estimators  extremely sensitive to both unit and sample size and concave in accounting for large deviations.
Revised: In domains with power law tails, sample measures of top centile contributions to the total (concentration) are biased, unstable estimators extremely sensitive to sample size and concave in accounting for large deviations.
Edit intent: clarity
Original:  They are also inconsistent under aggregation and mixing distributions, as weighted concentration measures for A and B will tend to be lower than that from A + B. In addition, it can be shown that under  fat tails, increases in the total sum need to be accompanied by increased measurement of concentration .
Revised:  They are also inconsistent under aggregation and mixing distributions, as the weighted average of concentration measures for A and B will tend to be lower than that from A + B. In addition, it can be shown that under fat tails, increases in the total sum need to be accompanied by increased measurement of concentration .
Edit intent: clarity
Original:  They are also inconsistent under aggregation and mixing distributions, as weighted concentration measures for A and B will tend to be lower than that from A + B. In addition, it can be shown that under  fat tails, increases in the total sum need to be accompanied by increased measurement of concentration .
Revised:  They are also inconsistent under aggregation and mixing distributions, as weighted concentration measures for A and B will tend to be lower than that from A U B. In addition, it can be shown that under fat tails, increases in the total sum need to be accompanied by increased measurement of concentration .
Edit intent: clarity
Original:  They are also inconsistent under aggregation and mixing distributions, as weighted concentration measures for A and B will tend to be lower than that from A + B. In addition, it can be shown that under  fat tails, increases in the total sum need to be accompanied by increased measurement of concentration .
Revised:  They are also inconsistent under aggregation and mixing distributions, as weighted concentration measures for A and B will tend to be lower than that from A + B. In addition, it can be shown that under such fat tails, increases in the total sum need to be accompanied by increased measurement of concentration .
Edit intent: clarity
Original:  They are also inconsistent under aggregation and mixing distributions, as weighted concentration measures for A and B will tend to be lower than that from A + B. In addition, it can be shown that under  fat tails, increases in the total sum need to be accompanied by increased measurement of concentration .
Revised:  They are also inconsistent under aggregation and mixing distributions, as weighted concentration measures for A and B will tend to be lower than that from A + B. In addition, it can be shown that under fat tails, increases in the total sum need to be accompanied by increased sample size of the concentration measurement .
Edit intent: clarity
Original:  We take the exchange to be an order-driven market and propose a continuous-time setup for the best bid price and the market spread, both modelled by functions of the market activity. We consider a random drift so to include the impact of market orders, and we describe the arrival of limit orders and of order cancellations by means of Poisson random measures.
Revised:  We take the exchange to be an order-driven market and propose a continuous-time setup for the best bid price and the market spread, both modelled by Levy processes.
Edit intent: clarity