wanyu/IteraTeR_full_sent huggingface dataset:
Original:  In particular, we address optimal portfolio choice  in a framework \`a la Almgren-Chriss  and we build therefore a model in which the agent takes into account in his /her allocation decision process both the liquidity of assets and the uncertainty with respect to their expected returns.
Revised:  In particular, we address optimal portfolio choice in a framework \`a la Almgren-Chriss and we build therefore a model in which the agent takes into account in his /her allocation decision process both the liquidity of assets and the uncertainty with respect to their expected returns.
Edit intent: fluency
Original:  In particular, we address optimal portfolio choice  in a framework \`a la Almgren-Chriss  and we build therefore a model in which the agent takes into account in his /her allocation decision process both the liquidity of assets and the uncertainty with respect to their expected returns.
Revised:  In particular, we address optimal portfolio choice in a framework \`a la Almgren-Chriss , and we build therefore a model in which the agent takes into account in his /her allocation decision process both the liquidity of assets and the uncertainty with respect to their expected returns.
Edit intent: fluency
Original:  In particular, we address optimal portfolio choice  in a framework \`a la Almgren-Chriss  and we build therefore a model in which the agent takes into account in his /her allocation decision process both the liquidity of assets and the uncertainty with respect to their expected returns.
Revised:  In particular, we address optimal portfolio choice in a framework \`a la Almgren-Chriss and we build therefore a model in which the agent takes into account in his decision process both the liquidity of assets and the uncertainty with respect to their expected returns.
Edit intent: clarity
Original:  In particular, we address optimal portfolio choice  in a framework \`a la Almgren-Chriss  and we build therefore a model in which the agent takes into account in his /her allocation decision process both the liquidity of assets and the uncertainty with respect to their expected returns. We also address optimal portfolio liquidation and optimal portfolio transition problems .
Revised:  In particular, we address optimal portfolio choice in a framework \`a la Almgren-Chriss and we build therefore a model in which the agent takes into account in his /her allocation decision process both the liquidity of assets and the uncertainty with respect to their expected return .
Edit intent: meaning-changed
Original:  It enables to recover the well-known results of Karatzas and Zhao in a framework \`a la Merton, but also to deal with cases where martingale methods are no longer available.
Revised:  It enables to recover the well-known results of Karatzas and Zhao in a framework \`a la Merton, but also to deal with cases where martingale methods are no longer available.
Edit intent: fluency
Original:  In particular, we address optimal portfolio choice, portfolio liquidation, and portfolio transition problems in a framework \`a la Almgren-Chriss, and we build therefore a model in which the agent takes into account in his decision process both the liquidity of assets and the uncertainty with respect to their expected return.
Revised:  In particular, we address optimal portfolio choice, portfolio liquidation, and portfolio transition problems in a framework \`a la Almgren-Chriss, and we build therefore a model in which the agent takes into account in his decision process both the liquidity of assets and the uncertainty with respect to their expected return.
Edit intent: fluency
Original: We develop a new method for hedging derivatives based on the premise that a hedger should not always rely on a universal set of trading instruments that are used to form a linear portfolio of the stock, riskless bond and standard derivatives, but rather should design a set of specific, most suited financial instruments for the hedging problem.
Revised: In complete markets, there are risky assets and a riskless asset. It is assumed that the riskless asset and the risky asset are traded continuously in time and that the market is frictionless. In this paper, we propose a new method for hedging derivatives based on the premise that a hedger should not always rely on a universal set of trading instruments that are used to form a linear portfolio of the stock, riskless bond and standard derivatives, but rather should design a set of specific, most suited financial instruments for the hedging problem.
Edit intent: meaning-changed
Original: We develop a new method for hedging derivatives based on the premise that a hedger should not always rely on a universal set of trading instruments that are used to form a linear portfolio of the stock, riskless bond and standard derivatives, but rather should design a set of specific, most suited financial instruments for the hedging problem.
Revised: We develop a new method for hedging derivatives assuming that a hedger should not always rely on a universal set of trading instruments that are used to form a linear portfolio of the stock, riskless bond and standard derivatives, but rather should design a set of specific, most suited financial instruments for the hedging problem.
Edit intent: clarity
Original: We develop a new method for hedging derivatives based on the premise that a hedger should not always rely on a universal set of trading instruments that are used to form a linear portfolio of the stock, riskless bond and standard derivatives, but rather should design a set of specific, most suited financial instruments for the hedging problem.
Revised: We develop a new method for hedging derivatives based on the premise that a hedger should not always rely on trading existing assets that are used to form a linear portfolio of the stock, riskless bond and standard derivatives, but rather should design a set of specific, most suited financial instruments for the hedging problem.
Edit intent: clarity
Original: We develop a new method for hedging derivatives based on the premise that a hedger should not always rely on a universal set of trading instruments that are used to form a linear portfolio of the stock, riskless bond and standard derivatives, but rather should design a set of specific, most suited financial instruments for the hedging problem.
Revised: We develop a new method for hedging derivatives based on the premise that a hedger should not always rely on a universal set of trading instruments that are used to form a linear portfolio comprised of the risky asset, the riskless asset, and standard derivatives, but rather should design a set of specific, most suited financial instruments for the hedging problem.
Edit intent: clarity
Original: We develop a new method for hedging derivatives based on the premise that a hedger should not always rely on a universal set of trading instruments that are used to form a linear portfolio of the stock, riskless bond and standard derivatives, but rather should design a set of specific, most suited financial instruments for the hedging problem.
Revised: We develop a new method for hedging derivatives based on the premise that a hedger should not always rely on a universal set of trading instruments that are used to form a linear portfolio of the stock, riskless bond and standard derivatives, but rather should design a set of specific, most-suited financial instruments for the hedging problem.
Edit intent: fluency
Original:  We introduce a sequence of new financial instruments best suited for hedging in jump-diffusion and stochastic volatility market models and those with long-range dependence. Our methods lead to a new set of partial and partial and partial-integro differential equations for pricing derivatives  .
Revised:  We introduce a sequence of new financial instruments best suited for hedging in jump-diffusion and stochastic volatility market models . The new instruments we introduce are perpetual derivatives. More specifically, they are options with perpetual maturities. In a financial market where perpetual derivatives are introduced, there is a new set of partial and partial and partial-integro differential equations for pricing derivatives .
Edit intent: meaning-changed
Original:  Our methods lead to a new set of partial and partial and partial-integro differential equations for pricing derivatives  .
Revised:  Our methods lead to a new set of partial and partial and partial-integro differential equations for pricing derivatives . Our analysis demonstrates that the set of new financial instruments together with a risk measure called the tail-loss ratio measure defined by the new instrument's return series can be potentially used as an early warning system for a market crash .
Edit intent: meaning-changed
Original:  We find that increase in noise correlation time in degradation rate can induce a regime shift from low to high protein concentration state and enhance the bistable regime, while noise in basal rate makes system steady states more stable and amplify the protein production .
Revised:  We find that increase in noise correlation time in degradation rate can induce a regime shift from low to high protein concentration state and enhance the bistable regime, while increase in noise correlation time in basal rate makes system steady states more stable and amplify the protein production .
Edit intent: clarity
Original:  We find that increase in noise correlation time in degradation rate can induce a regime shift from low to high protein concentration state and enhance the bistable regime, while noise in basal rate makes system steady states more stable and amplify the protein production .
Revised:  We find that increase in noise correlation time in degradation rate can induce a regime shift from low to high protein concentration state and enhance the bistable regime, while noise in basal rate retain the bimodal distribution .
Edit intent: clarity
Original:  The proposed tests are based on two-step Kaplan-Meier integrals , and do not rely on parametric distributional assumptions, shape restrictions, nor on restricting the potential treatment effect heterogeneity across different subpopulations.
Revised:  The proposed tests are based on two-step Kaplan-Meier integrals and do not rely on parametric distributional assumptions, shape restrictions, nor on restricting the potential treatment effect heterogeneity across different subpopulations.
Edit intent: fluency
Original:  The proposed tests are based on two-step Kaplan-Meier integrals , and do not rely on parametric distributional assumptions, shape restrictions, nor on restricting the potential treatment effect heterogeneity across different subpopulations.
Revised:  The proposed tests are based on two-step Kaplan-Meier integrals , and do not rely on parametric distributional assumptions, shape restrictions, or on restricting the potential treatment effect heterogeneity across different subpopulations.
Edit intent: fluency
Original:  Here, we introduce a novel computational model of chemical reaction networks based on RNA secondary structure , and analyze the emergence of autocatalytic sub-networks in random instances of this model, by combining two well-established computational tools.
Revised:  Here, we introduce a novel computational model of chemical reaction networks based on RNA secondary structure and analyze the emergence of autocatalytic sub-networks in random instances of this model, by combining two well-established computational tools.
Edit intent: fluency
Original:  Here, we introduce a novel computational model of chemical reaction networks based on RNA secondary structure , and analyze the emergence of autocatalytic sub-networks in random instances of this model, by combining two well-established computational tools.
Revised:  Here, we introduce a novel computational model of chemical reaction networks based on RNA secondary structure , and analyze the existence of autocatalytic sub-networks in random instances of this model, by combining two well-established computational tools.
Edit intent: clarity
Original:  Our main results are that (i) autocatalytic sets are highly likely to emerge , even for very small reaction networks and short RNA sequences, and (ii) molecular diversity seems to be a more important factor in the formation of autocatalytic sets than molecular complexity .
Revised:  Our main results are that (i) autocatalytic sets are highly likely to exist , even for very small reaction networks and short RNA sequences, and (ii) molecular diversity seems to be a more important factor in the formation of autocatalytic sets than molecular complexity .
Edit intent: clarity
Original:  Our main results are that (i) autocatalytic sets are highly likely to emerge , even for very small reaction networks and short RNA sequences, and (ii) molecular diversity seems to be a more important factor in the formation of autocatalytic sets than molecular complexity .
Revised:  Our main results are that (i) autocatalytic sets are highly likely to emerge , even for very small reaction networks and short RNA sequences, and (ii) sequence diversity seems to be a more important factor in the formation of autocatalytic sets than molecular complexity .
Edit intent: clarity
Original:  Our main results are that (i) autocatalytic sets are highly likely to emerge , even for very small reaction networks and short RNA sequences, and (ii) molecular diversity seems to be a more important factor in the formation of autocatalytic sets than molecular complexity .
Revised:  Our main results are that (i) autocatalytic sets are highly likely to emerge , even for very small reaction networks and short RNA sequences, and (ii) molecular diversity seems to be a more important factor in the formation of autocatalytic sets than sequence length .
Edit intent: clarity
Original:  We then present an adaptation of the approach proposed in Modelling parameter uncertainty for risk capital calculation, Andreas Fr\"ohlich, Annegret Weng, European Actuarial Journal, Vol. 5, Issue No. 1 (2015), pp. 79-112  . Experimental results demonstrate that this new method yields a risk capital model for the reserve risk achieving the required confidence level in good approximation.
Revised:  We then present an adaptation of the approach proposed in \mbox{%DIFAUXCMD \cite . Experimental results demonstrate that this new method yields a risk capital model for the reserve risk achieving the required confidence level in good approximation.
Edit intent: meaning-changed
Original:  We then present an adaptation of the approach proposed in Modelling parameter uncertainty for risk capital calculation, Andreas Fr\"ohlich, Annegret Weng, European Actuarial Journal, Vol. 5, Issue No. 1 (2015), pp. 79-112  . Experimental results demonstrate that this new method yields a risk capital model for the reserve risk achieving the required confidence level in good approximation.
Revised:  We then present an adaptation of the approach proposed in Modelling parameter uncertainty for risk capital calculation, Andreas Fr\"ohlich, Annegret Weng, European Actuarial Journal, Vol. 5, Issue No. 1 (2015), pp. 79-112 froehlich2014 . Experimental results demonstrate that this new method yields a risk capital model for the reserve risk achieving the required confidence level in good approximation.
Edit intent: meaning-changed
Original: In this paper, we study the properties of nonlinear BSDEs driven by a Brownian motion and a martingale measure associated with a default jump with intensity process (\lambda_t).
Revised: In this paper, we study the properties of nonlinear Backward Stochastic Differential Equations (BSDEs) driven by a Brownian motion and a martingale measure associated with a default jump with intensity process (\lambda_t).
Edit intent: meaning-changed
Original:  The special case of a \lambda-linear driver is studied, leading to a representation of the solution of the associated BSDE in terms of a conditional expectation of an adjoint exponential semi-martingale.
Revised:  The special case of a \lambda-linear driver is studied, leading to a representation of the solution of the associated BSDE in terms of a conditional expectation and an adjoint exponential semi-martingale.
Edit intent: clarity
Original:  The results are reasonably robust across 27 countries of varying degree of prosperity and across periods of market turbulence (2008-09) , as well as relative calmness (2015-16).
Revised:  Our results are reasonably robust across 27 countries of varying degree of prosperity and across periods of market turbulence (2008-09) , as well as relative calmness (2015-16).
Edit intent: fluency
Original:  The results are reasonably robust across 27 countries of varying degree of prosperity and across periods of market turbulence (2008-09) , as well as relative calmness (2015-16).
Revised:  The results are reasonably robust across 27 countries of varying degrees of prosperity and across periods of market turbulence (2008-09) , as well as relative calmness (2015-16).
Edit intent: fluency
Original:  The results are reasonably robust across 27 countries of varying degree of prosperity and across periods of market turbulence (2008-09) , as well as relative calmness (2015-16).
Revised:  The results are reasonably robust across 27 countries of varying degree of prosperity and across periods of market turbulence (2008-09) as well as relative calmness (2015-16).
Edit intent: fluency
Original: Many analysts, who had anticipated a great market anxiety resulting in market-wide stock price losses over the event of a Trump presidential victory, remain puzzling through why the market rebounded since the next election day. Whatever the reason, investors appear to be digesting Trump's win speedier than expected. The present paper examines , at sectoral level, the behavior of a variety of US stock price indices (Dow Jones Industrial Average, S\&P 500 and Nasdaq Composite) surrounding the announcement of the Republican candidate's win on 08 November 2016.
Revised: There is bountiful evidence that political uncertainty stemming from presidential elections or doubt about the direction of future policy make financial markets significantly volatile, especially in proximity to close elections or elections that may prompt radical policy changes. Although several studies have examined the association between presidential elections and stock returns, very little attention has been given to the impacts of elections and election induced uncertainty on stock markets. This paper explores , at sectoral level, the behavior of a variety of US stock price indices (Dow Jones Industrial Average, S\&P 500 and Nasdaq Composite) surrounding the announcement of the Republican candidate's win on 08 November 2016.
Edit intent: coherence
Original:  The present paper examines , at sectoral level, the behavior of a variety of US stock price indices (Dow Jones Industrial Average, S\&P 500 and Nasdaq Composite) surrounding the announcement of the Republican candidate's win on 08 November 2016. Although all companies face ongoing uncertainty , the 2016 US election outcome is likely to divide the stock market into losing (technology and utilities) and winning sectors (health care , oil and gas, real estate, defense, financials and consumer goods and services) . Judging by the campaign promises, the best-performing companies are generally those that will gain directly from Trump's proposals revolving around rising infrastructurespending , renegotiating trade agreements, loosening financial regulation, easing restrictions on energy production, and repealing Obamacare.
Revised:  The present paper examines , at sectoral level, the uncertain information hypothesis (UIH) as a means of explaining the reaction of markets to the arrival of unanticipated information. This hypothesis postulates that political uncertainty is greater prior to the elections (relative to pre-election period) but is resolved once the outcome of the elections is determined (relative to post-election period). To this end, we adopt an event-study methodology that examines abnormal return behavior around the election date. We show that collapsing stock returns around the election result is reversed by positive abnormal return on the next day, except some cases where we note negative responses following the vote count. Although Trump's win plunges US into uncertain future, positive reactions of abnormal return are found. Therefore, our results do not support the UIH hypothesis. Besides, the effect of political uncertainty is sector-specific. While some sectors emerged winners (healthcare , oil and gas, real estate, defense, financials and consumer goods and services) . Judging by the campaign promises, the best-performing companies are generally those that will gain directly from Trump's proposals revolving around rising infrastructurespending , renegotiating trade agreements, loosening financial regulation, easing restrictions on energy production, and repealing Obamacare.
Edit intent: meaning-changed
Original:  and winning sectors (health care , oil and gas, real estate, defense, financials and consumer goods and services) . Judging by the campaign promises, the best-performing companies are generally those that will gain directly from Trump's proposals revolving around rising infrastructurespending , renegotiating trade agreements, loosening financial regulation, easing restrictions on energy production, and repealing Obamacare.
Revised:  and winning sectors (health care , oil and gas, real estate, defense, financials and consumer goods and services) , others took the opposite route (technology and utilities). The winning industries are generally those that will gain directly from Trump's proposals revolving around rising infrastructurespending , renegotiating trade agreements, loosening financial regulation, easing restrictions on energy production, and repealing Obamacare.
Edit intent: meaning-changed
Original:  and winning sectors (health care , oil and gas, real estate, defense, financials and consumer goods and services) . Judging by the campaign promises, the best-performing companies are generally those that will gain directly from Trump's proposals revolving around rising infrastructurespending , renegotiating trade agreements, loosening financial regulation, easing restrictions on energy production, and repealing Obamacare.
Revised:  and winning sectors (health care , oil and gas, real estate, defense, financials and consumer goods and services) . Judging by the campaign promises, the best-performing companies are generally those that will benefit from the new administration's focus on rebuilding infrastructure , renegotiating trade agreements, loosening financial regulation, easing restrictions on energy production, and repealing Obamacare.
Edit intent: clarity
Original:  and winning sectors (health care , oil and gas, real estate, defense, financials and consumer goods and services) . Judging by the campaign promises, the best-performing companies are generally those that will gain directly from Trump's proposals revolving around rising infrastructurespending , renegotiating trade agreements, loosening financial regulation, easing restrictions on energy production, and repealing Obamacare.
Revised:  and winning sectors (health care , oil and gas, real estate, defense, financials and consumer goods and services) . Judging by the campaign promises, the best-performing companies are generally those that will gain directly from Trump's proposals revolving around rising infrastructurespending , renegotiating trade agreements, reforming tax policy and labour laws, increasing defense funding, easing restrictions on energy production, and repealing Obamacare.
Edit intent: clarity